Statistics for the Life Sciences (3rd Edition)

Book Description

Statistics for the Life Sciences presents the key concepts of statistics as applied to the life sciences, while incorporating tools and themes of modern data analysis. The book emphasizes interpretation of results using real data, which facilitates an understanding of statistics and data through the use of graphical data and analysis. The Third Edition has added many new sections to cover probability rules, random variables, the Wilcoxon Signed-Rank Test, and two-way ANOVA and ANOVA for randomized blocks designs. In addition, there is expanded treatment of logistic regression in Chapter 12. This book is an essential statistics reference for professionals and scientists in biology, agronomy, medical and health sciences, nutrition, pharmacy, animal science, physical education, forestry, and other life sciences.

Customer Reviews:

Disappointed.......2007-05-05

I am personally disappointed with this book for the following reasons:

1) Most math books have the answers in the back for nearly all of the odd programs; this book does not. In fact, there's little rhyme or reason for the answers listed in the back. In short, most odd problem answers are not listed yet some of the even answers are given. Go figure..

2) I don't care for the chapter and section layouts. In my calculus text, everything is more developed. In some of the better texts, definitions are given before the explanations are given, which in turn precedes the examples given. This book does not of that. There is not a comprehensive list of definitions at the end of the chapter, the in-chapter definitions are weak, and they fail to fully develop the material before jumping into examples, etc.

But, it is a textbook and it costs > $100, so by publisher standards, it is a home run.

definitely oversimplified........2006-12-28

I took an AP statistics course in high school that went into much better detail than this book ever did. With this book I could not have made it out with the understanding I currently have of statistics without having taken that class years ago. Our instructor was pretty much incompetent, so it was a true test of how well the textbook got the job done. I watched my classmates really struggle with this book. The problem is that the concepts of different test statistics and what they actually mean are too oversimplified. The book does a great job of teaching how through an extensive amount of examples, but not why, and not enough instances or explanations of what should be done when problems deviate from the given example. It is really important in statistics to know how to handle different kinds of data and which tests to apply to them, but the book in my opinion did a poor job of distinguishing and explaining the different types of tests, as well as how the results should be analyzed. I would definitely recommend looking elsewhere for a good statistics textbook. When it comes to mathematics, theory (knowing why a problem is solved the way it is and why it works) is just as important as being able to correctly solve the problem.

Book better than class........2006-12-20

This textbook was required for my statistics class at the University of Wisconsin. I found the book easier to follow with better examples than my lecture was. Often I cannot learn anything right from the book, but this book made it easy with complete examples and simple descriptions of variables and theory. The book was so good, in fact, I rarely made it to class because I learned it better from the book!

Oversimplified.......2006-09-07

The book is reasonably good at explaining simple concepts.

However, the lack of detail does not allow for real life application in a biological field: the concepts are oversimplified and the examples given do not reflect the difficulty of actual basic statistics work in the life sciences.

If you want to buy this book, the questions you should ask yourself are:

1. Are you buying this book just to pass a basic statistics course?

2. Are you buying this book to expand your point of view and understanding of real life applications?

An excellent textbook that teaches by example.......2003-04-17

In a word - wow. This is an outstanding textbook for undergraduate biology students. The number of practical, real life examples exceeds anything else I have seen in a statistics book, permitting the student to follow theory immediately with concrete practice. Examples are drawn from all axes of biology as well - physiology, biogeochemistry, pharmacology, microbiology, animal behaviour and more. I have been disappointed with previous textbooks which fall down in the following ways: 1) too much emphasis on the mathematics of calculation, or 2) lack of practical introductory treatment of moderately advanced topics which are nonetheless necessary to practitioners. This book for me strikes a very good balance between understanding the underpinnings without getting lost in equations, and getting your hands dirty with data in order to learn by example. Coverage is as wide as necessary today: introduction to logistic regression, and a clear treatment of interaction in two-way ANOVA. I do note that multiple regression is not touched. The sole drawback: sticker shock. It will be difficult for students to pay for a book that costs about $100 US. But at least you get what you pay for in this case.

Bayesian Data Analysis, Second Edition (Texts in Statistical Science)

Average customer rating:

Comprehensive, but not well-written
Very Excellent, but non-statisticians should start elsewhere
As Good As It Gets For An Intro To Bayes
It is a good book, but not a bible of Bayesian analysis.
A good introductory book, but...

Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
Andrew Gelman , John B. Carlin , Hal S. Stern , and Donald B. Rubin
Manufacturer: Chapman & Hall/CRC
ProductGroup: Book
Binding: Hardcover

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ASIN: 158488388X

Book Description

Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include: · Stronger focus on MCMC · Revision of the computational advice in Part III · New chapters on nonlinear models and decision analysis · Several additional applied examples from the authors' recent research · Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more · Reorganization of chapters 6 and 7 on model checking and data collection Bayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

Customer Reviews:

Comprehensive, but not well-written.......2007-01-06

This book is a very comprehensive treatment of Bayesian data analysis. However, it is not well-written. I find Lancaster's book to be much more well-written and interesting to read.

Very Excellent, but non-statisticians should start elsewhere.......2006-06-05

Gelman's book is an excellent and complete introduction to Bayesian methods. It covers a number of topics not touched by other intros I've read, and focuses much more on regression and ANOVA than other texts.

There are two downsides, coming from someone in psychology. First, the book seems to hover between an introductory text and a more advanced one. The topics covered are mostly introductory, but the examples aren't always entirely easy to follow. A tighter integration with the R and Bugs code would help. Perhaps a section at the end of the chapters containing a code example for each topic would be ideal. It's not that the topics themselves are necessarily opaque, but Gelman moves too fast at times, making it hard to think in terms of notation, theory, experimental design AND code at the same time (for those of us constantly thinking about how this affects our own research).

Second, as a general rule, this book is outside the ken of most psychologists. This is unfortunate since the methods are ideal for our discipline, and since many psychologists already perceive a large barrier of entry to statistics. As a psychologist with minimal undergraduate training in stats, I would (and did) start with a standard statistics book like Casella and Berger, and then move on to a gentler introduction to Bayesian methodology, like _Bayesian Methods: A Social and Behavioral Sciences Approach_ by Jeff Gill. Also, you can barely do anything in this book with SPSS so you'll have to learn R and Bugs.

As Good As It Gets For An Intro To Bayes.......2005-10-28

Yes, it is an introduction to Bayesian methods. That means you have to have a very good understanding of classical statistics (at the level of Casella and Berger would be optimal) and then be willing to use the WinBugs program to further your knowledge. A great book.

It is a good book, but not a bible of Bayesian analysis........2005-08-31

[1] A good introductory book, but definitely not a bible of Bayesian analysis.
[2] The example-based introduction may be a try of new generation of Bayesian. Many people, especially the beginners, may like this style.
[3] Some of the authors are good at programming in BUGS, R, etc, so the part of MCMC methods seems worthy to skim through.
[4] The book is suitable for the undergraduate and the first year graduate level.

A good introductory book, but..........2005-01-26

I read the other reviews and agree with them to some extent. This is
a good introduction to applied Bayesian analysis. Lots of
good examples, illustrations and exercises.

If you are the kind of person who learns by way of examples, then
this might be the text book for you. If you are looking for the
bigger picture, then you will be lost here. There is very little in the way
of theory. Why is this the right method? What is gained theoretically
over a frequentist method? What are the theoretical properties of the
proposed approach? To a large extent these kinds of questions remain a mystery.
In terms of flexibility an applied Bayesian approach has some decided
advantages. However, in terms of theory
it's almost as if the authors want you to believe that once
you adopt the Bayesian approach then the benefits of averaging
by way of using a prior will always be the right thing to do.

You could argue that advanced questions like this are better suited for
a more advanced text book. I tend to ask more out of a book.

Estimation with Applications to Tracking and Navigation

Average customer rating:

Excellent book on estimation/Kalman filter
best standard book for target tracking system

Estimation with Applications to Tracking and Navigation
Yaakov Bar-Shalom , X. Rong Li , and Thiagalingam Kirubarajan
Manufacturer: Wiley-Interscience
ProductGroup: Book
Binding: Hardcover

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ASIN: 047141655X

Book Description

Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation

Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations. It explains state estimator design using a balanced combination of linear systems, probability, and statistics.

The authors provide a review of the necessary background mathematical techniques and offer an overview of the basic concepts in estimation. They then provide detailed treatments of all the major issues in estimation with a focus on applying these techniques to real systems. Other features include:

Problems that apply theoretical material to real-world applications
In-depth coverage of the Interacting Multiple Model (IMM) estimator
Companion DynaEst(TM) software for MATLAB(TM) implementation of Kalman filters and IMM estimators
Design guidelines for tracking filters

Suitable for graduate engineering students and engineers working in remote sensors and tracking, Estimation with Applications to Tracking and Navigation provides expert coverage of this important area.

Customer Reviews:

Excellent book on estimation/Kalman filter.......2004-09-29

I don't usually write online reviews but this book is so clear and useful that I really want to recommend it to others. It is well written with a good outline and summary for every chapter. It also has a pretty diverse range of topics on estimation, including an introductory chapter on basic estimation approaches (e.g., ML, MAP, least squares), and very practical extensions (e.g., state augmentation, square-root filters). Even though I am not in EE and some of the examples are thus not particularly helpful to me, I still find this book one of the best of all the estimation/Kalman filter books out there.

best standard book for target tracking system.......2001-05-09

I think any person who major in target tracking system related to the Kalman filter must see this book. This book present the fundamentals of state estimation theory and the tools for the design of state-of-the-art algorithms for target tracking.

The book covers the basic concepts and estimation techniques for static and dynamic systems, linear and nonlinear, as well as adaptive estiomation. This constitutes a one semester graduate course in estimation theory in an electrical/systems engineering program.

The discussion deals mainly with discrete time estimation algorithms, which are natural for digital computer implementation. The basic state estimation algorithm-the Kalman filter-is presented in discrete as well as in continuous time. The use of the estimation algorithms is illustrated on kinematic motion models because they reveal all the major issues and in particular the subtleties encountered in estimation, and this serves as an introdution to tracking.

Guidelines for tracking filter design-selection of the filter design parameters-are given and illustrated in several examples.

At the end of each chapter, a number of problems that enhance the understanding of the theory and the connection of the theoretical material to the real world are given.

Book Description

Heath 2/e, presents a broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinear equations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators. The treatment is comprehensive yet concise, software-oriented yet compatible with a variety of software packages and programming languages. The book features more than 160 examples, 500 review questions, 240 exercises, and 200 computer problems. Changes for the second edition include: expanded motivational discussions and examples; formal statements of all major algorithms; expanded discussions of existence, uniqueness, and conditioning for each type of problem so that students can recognize "good" and "bad" problem formulations and understand the corresponding quality of results produced; and expanded coverage of several topics, particularly eigenvalues and constrained optimization. The book contains a wealth of material and can be used in a variety of one- or two-term courses in computer science, mathematics, or engineering. Its comprehensiveness and modern perspective, as well as the software pointers provided, also make it a highly useful reference for practicing professionals who need to solve computational problems.

Customer Reviews:

very nice conceptual overview.......2006-07-22

Wow, people seem to be really split on this book. I had Mike Heath for numerical analysis/scientific computing and he was an excellent instructor, one of the best lecturers I've ever had. (As a consequence, I have a hard time separating the book and the class, so judge accordingly.) The book is based on his lecture notes, though he added some material and didn't cover every topic in the book. Just reading the book is useful to give you an overview of the point behind different methods. The goal of the class for which this book was written is actually quite conceptual. It was to give scientists (that's me: a stats researcher who makes heavy use of numerical computation) and CS people in areas other than scientific computing a leg up. It was only a first class for people in scientific computing, the rough equivalent of intro Physics or intro Probability/Stats for people in those respective majors. However, you *won't* be prepared to "roll your own" from this book. In fact, at the beginning of the semester Heath was very careful to note that if you have the opportunity to use a library function for most numerical programming, you are nuts to roll your own. Why? Numerical algorithms are usually extremely complicated and the authors of the code often spend years developing careful expertise on them. Frequently the formulas used to elucidate a given method are NOT the ones used to implement it. You need error traps, tricks to handle ill-scaling and other special cases, etc. These are things that someone who has a one-semester, superficial understanding of a topic simply won't have. So consider the book on the goals it set: it is an overview of a field. If you want to learn more about any one topic, you have to dig deeper and consult references and other works, but this is a good place to start. For this, the book serves admirably.

Not for the practitioner.......2005-11-17

If you are interested in Scientific computing from the viewpoint of the end user that is the guy who uses the method to solve practical engineering problems then this book is lacking.

Not enough methods in this book to constitute an introductory survey of the field. Every chapter gets heavy dose mathematical treatment, apparently Heath loves his math but for the rest of us it doesnt translate into know-how. Know how to solve equations using computational techniques. Very few derivations to back his mathematical swagger, very few examples (if any) and fewer numerical schemes to solve problems. Many of the chapters receive cursory treatment such as PDE's get about 70 pages of print. Far too little to do anyone any good.

He does talk about interesting issues such as conditioning and error analysis and computer precision and memory issues but it is done from such a superficial viewpoint that one cannot use anything to improve ones code. Not recommended if you want to learn numerical methods even if you have an excellent professor to learn from. His chapter on FFT's was even more abstruse and there was hardly any methods with which to solve PDE's.

I had this for a graduate course in Numerical Methods but ended up using Hoffman's excellent book on Numerical Methods.

Trash.......2005-10-14

If you want to have a solid understanding of numerical computation, this book is definitely the last choice. Many theorems are given without any proof or even intuitions behind them in this book. Even when a proof is provided, it's often far from rigorous. The organization of chapters is the worst I have ever seen, revelant materials are scattered over several different locations rather than put together. Take the SVD for example, it is mentioned in the end of chapter 3, but reappears in chapter 4, which is very confusing. If you are new to this area, please don't read this book. It gives you many many facts without explanations, which I think is not a good way to learn new things. David S. Watkins' Fundamentals of Matrix Computations is a lot better and easier to understand. It also emcompasses many detailed treatments of various theorems. If you have bought Heath's book, don't be sad, at least it can serve as a coaster.

Excellent Introduction, Sparse on Details.......2004-11-20

While sparse on the details of many of the algorithms and theorems mentioned, as an introduction it covers a broad range of material-enough for two semesters of study. The writing is lucid, and when a proof of a theorem is given, it is easy to follow and explained in english afterward. Rationale is given for everything, which is a great benefit to a student not familiar with the nuances of sophisticated linear algebra.

A Good Introductory Survey.......2002-11-05

This book excels at presenting a reader with little to no knowledge in computer science and a mild mathematical background (knowledge of differential equations as a prerequisite) with the fundamental concepts regarding scientific computing. The presentation of pseudo-code algorithms helps smooth the transition from analytical (pencil and paper) thinking to numerical thinking. The algorithms are presented in a manner such tha anyone with access to dozens of possible environments can apply them, though they are by no means complete, thus requiring some thought into the processes. The material covered is 110% of what an engineer will want to know, 90% of what an applied mathematician will want to know, and 45% of what a numerical analyist will want to know. In all, a great book to begin a foray into numerical computing.

Applied Statistics For Engineers and Scientists Using Microsoft Excel and MINITAB (With CD-ROM)

Average customer rating:

Very Practical Book
Good for first edition

Applied Statistics For Engineers and Scientists Using Microsoft Excel and MINITAB (With CD-ROM)
David M. Levine , Patricia P. Ramsey , and Robert K. Smidt
Manufacturer: Prentice Hall
ProductGroup: Book
Binding: Hardcover

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ASIN: 0134888014

Book Description

This applied book for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software complete this treatment of statistics. Chapter topics include describing and summarizing data; probability and discrete probability distributions; continuous probability distributions and sampling distributions; process control charts; estimation procedures; hypothesis testing; the design of experiments; and simple linear and multiple regression models. For individuals interested in learning statistics—without a high level of mathematical sophistication.

Customer Reviews:

Very Practical Book.......2003-11-30

I have found this book to be very useful with practical examples and case studies. I felt that as an engineer I needed to know how to use software(to save time)along with the formulas that work in it.This book satisfies that, using a very common software EXCEL..what could be better than this.
I strongly recommend this book for a high level course in statistics.

Good for first edition.......2002-05-10

I used this textbook for a course in statistics. I must say that it was better then the first time that I had taken statistics 5 years ago. The book uses one or two data sets per chapter that helps you focus your thoughts while learning the different techniques. A nice feature about this book that wasnt available 5 years ago is the Excel and Minitab examples which saves a lot of time that is ordinarly spent on copious number crunching. I would have given the book 5 stars, however I found some obvious errors in the book that should have been edited out before the release. Good starter book for sats.

Probability Theory: The Logic of Science

Average customer rating:

On first reading
Great hard to find information
Engaging, Infuriating, Always Challenging
Excelent
A nic book on the philosophy of Bayesian probability theory.

Probability Theory: The Logic of Science
E. T. Jaynes
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Hardcover

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ASIN: 0521592712

Book Description

Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

Customer Reviews:

On first reading.......2007-09-09

This is a great book. Getting it all together is well worth the price. Jaynes is always a joy to read, polemical and opinionated as he is. One of the very few writers who can put drama into the dry subject of statistics. This is a book about the subject of statistics, rather than a statistics book, with a lot of critical thought and criticism of other statisticians, and statistical paradoxes. It's not, however, the book to choose if you just want another text to help you pass your stats course as its more about the why rather than the how of statistical thinking and logic.

Great hard to find information .......2007-07-16

Its hard to write a review for this book. There are definitely flaws, but the information in this book, is just not anywhere else. This is the first place I had ever seen a general form of the rule of succession, or a worthwhile logical attack on the Copenhagen interpretation. It is a very interesting and thought provoking book, but is also a good practical reference for advanced probability problems.

Engaging, Infuriating, Always Challenging.......2006-08-15

I've never seen another book like this. Jaynes definitely has an agenda, but he justifies his viewpoint through an amazingly deep tour of probability theory. Not every viewpoint he expresses is convincing (such as his view that quantum theory is inherently probabilistic only because physicists are lazy), but he always raises deep and interesting questions while teaching the ideas. If you can read a book and accept some but not all of its viewpoint, then this is the book on probability for you.

Excelent.......2006-02-28

It is a book between phylosophy and statistic. Clear concepts and easy to understand.

A nic book on the philosophy of Bayesian probability theory........2005-09-13

I read the draft of this book before its publication, which was freely available online at that time. It is worthy, at least, 4 stars.

[1] The author is an important person in the history of Bayesian probability, who firmly believed subjective Bayesian and argued for his belief with those frequentists in his whole life.
[2] It is a philosophy book rather than a textbook of probability. Therein, it is a more valuable work that will surely influence Bayesian theory.
[3] Bayesian inference in theoretical physics may enlighten mathematicians as to a wider and deeper understanding of Bayesianism.

Probability & Statistics for Engineers & Scientists (8th Edition)

Average customer rating:

A decent undergrad book on the subject
It is ok, but ...
Rough, Very Rough....
Engineering Specialist
The 6th Edition is among the best I've seen...

Probability & Statistics for Engineers & Scientists (8th Edition)
Ronald E. Walpole , Raymond H. Myers , Sharon L. Myers , and Keying Ye
Manufacturer: Prentice Hall
ProductGroup: Book
Binding: Hardcover

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ASIN: 0131877119

Book Description

With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference, motivated by interesting, relevant applications. Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book’s relevance to today’s engineers and scientists. Includes new problem sets demonstrating updated applications to engineering as well as biological, physical, and computer science. Emphasizes key ideas as well as the risks and hazards associated with practical application of the material. Includes new material on topics including: difference between discrete and continuous measurements; binary data; quartiles; importance of experimental design; âdummyâ variables; rules for expectations and variances of linear functions; Poisson distribution; Weibull and lognormal distributions; central limit theorem, and data plotting. Introduces Bayesian statistics, including its applications to many fields.

For those interested in learning more about probability and statistics.

Customer Reviews:

A decent undergrad book on the subject.......2007-08-20

This is one of the better undergrad-level books on the subject, and the fact that it's now in it's 7th edition (as of this writing) shows that it's still in use in the halls of academia. My copy, if I remember correctly, is either a first or second edition.

Unfortunately for me, I had a sub-par instructor (and a different text book) the first time I studied the material, and even though I got high marks in the class, I re-audited the class again, on my own time, with a different instructor, the following semester. The different instructor, and text book (this one), made a big difference, and really helped bring the material to life for me ... even though it cost me half of a perfectly good summer vacation to do it.

Let's face it ... probability computations, permutations, and confidence intervals, can be a bit dry (and a hot classroom with no air conditioning didn't help matters), but Wadpole does a decent job of not only covering the material well. There are plenty of worse books on the material out there, trust me. This one's better than others I've seen.

It is ok, but ..........2007-02-02

This is an OK book but too expensive for what it is. I learned a lot from the book. The excercises are good but the wording is sometimes confusing. You have the answers for "odd" exercises in the back of the book, but it looks like that the authors added new exercises in this edition and the answers are in the back of the book, therefore, you don't know if you got the right answer.
You better read some other Basic Statistic book, before you using this book. Good for people that study Science or Engineering.

Rough, Very Rough...........2006-11-25

The problem with this book is that it can not decide whether it is a proper mathematics book, spending time on formal proofs and on mathematical intuition, or a "recipes" book simply providing the reader with a list of statistical techniques.

The author spends some time going though the sequential building blocks of statistical theory, presenting key theorems, but only to leave more than 1/2 of them as "exercises". This leads to a number of problems such as:

1) Uncertainty regarding the applicability of techniques without a proper derivation from first principles
2) The need to constantly fall back to detailed wording of past Theorems and Corrolaries to compensate lack of intuitive understanding
3) The inability of the author to differentiate between BIG ideas and little details (and the links between them...)

The book is therefore an OK framework to get a quick overview of the topic, for quick browsing and quick fixes, but in order to really cover the material properly, one needs to constantly refer back to more thorough and formal works.

Remember the Calculus books that try to compensate a sharp presentation of ideas and concepts by encyclopedic integration techniques ???

Engineering Specialist.......2006-03-25

With an exception of Chapter 1, this book is well written, well organized with logical flow of subjects, and having practical example for every chapter's sub-topics. I found most of these examples are simple and very supportive for the understanding of mathematical expressions and that link the underline subject with real-world application. This book, in my opinion, is an excellent text for science and engineering students as well as for scientist or professional engineer who wants to achieve his or her self-study of the fundamentals of probability and statistics.

If Chapter 1 had provided a right level of abstract for an introduction of book's chapters and eliminated trivial / obvious errors (e.g. on pp. 9 and 10) in this chapter then, I believe, the reader's impression of the book would increase significantly.

The 6th Edition is among the best I've seen..........2006-02-08

I don't have the 7th Edition, but the 6th Edition is helping greatly. The explanation of concepts are crystal clear and the examples make sense, are well explained.

Average customer rating:

Very good
A Must Have! The Greatest resource for statistics for Engineers and Scientists

Statistics for Engineers and Scientists
William C. Navidi
Manufacturer: McGraw-Hill Science/Engineering/Math
ProductGroup: Book
Binding: Hardcover

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ASIN: 0073309494

Book Description

Real World Data Sets with new problems along with ARIS, McGraw-Hill's Homework Management System, define what this second edition has to offer. Within ARIS, Navidi offers 300 algorithmic practice problems along with Java applets that allow students to interactively explore ideas in the text. Customizable PowerPoint lecture notes for each chapter are available as well, along with suggested syllabi, and other features. More information can be found at aris.mhhe.com.

This new edition includes more than 200 new exercises, a new section on point estimation on histograms, and provides discussion of Chebyshev’s inequality.

Customer Reviews:

Very good.......2007-03-07

It's a very good statistics book for both scientists and Engineers.It's 'a must have' on your shelve.Good for quick review and references.

A Must Have! The Greatest resource for statistics for Engineers and Scientists.......2006-08-29

I hold a BS in Math and I'm completeing a MS in Applied Statistics. If I had this textbook prior to completing my course work I could have replaced three or four and maybe five other books with Dr. Navidi's work. This is with out question the best single source for basic statistics you can find for an engineer, scientist or anyone else that is more concerned with the use of the statistics than the mathematical background.

If you are looking for a basic intro book for a stats major this would be okay, it is the PERFECT BOOK for the intro to applied statistics course. There is more info in this book than can be covered in one semester but is easy to read and can be used for years and years as the resource for statistics.

Simple and easy to read, use and full of real world examples. A better statistics book does not exist.

Applied Statistics and Probability for Engineers

Average customer rating:

A Very Good Applied Stat Book
Not recommended for self study
Not that good
Applied Statisitics and Probability for Engineers
Best engineering text on statistics

Applied Statistics and Probability for Engineers
Douglas C. Montgomery , and George C. Runger
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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Excel for Engineers and Scientists, Second Edition

ASIN: 0471745898

Book Description

Real Engineering Situations, Real Engineering Data

With Montgomery and Runger's best-selling engineering statistics text, you can learn how to apply statistics to real engineering situations. The text shows you how to use statistical methods to design and develop new products, and new manufacturing systems and processes. You'll gain a better understanding of how these methods are used in everyday work, and get a taste of practical engineering experience through real-world, engineering-based examples and exercises.

Now revised, this Fourth Edition of Applied Statistics and Probability for Engineers features many new homework exercises, including a greater variation of problems and more computer problems.

Key Features
* The text treats all topics in a way that reflects today's engineering realities. In the probability chapters, the authors emphasize engineering-specific examples, rather than counting methods or artificial applications such as gambling.
* Examples and exercises throughout the text use real data and real engineering situations.
* Coverage of probability is lively and interesting. It is complete but concise so as not to take over the content of the entire text.
* Thorough coverage of regression modeling, design of engineering experiments, and statistical process control from experts in these topics makes the book especially useful as a reference.

Customer Reviews:

A Very Good Applied Stat Book.......2007-09-25

The book is very good for applied Statistics in engineering. It has many practical engineering examples that an engineer can apply at work. The "FREE Access to Online Student Resources Inside" white envelop interferes with opening the first few pages of the book when it is brand new. The book is well written.

Not recommended for self study.......2007-06-09

This book is not recommended for self study or distance courses. There are only sporadic answers to odd problems, most books of this type have answers for every odd problem. The student solution manual is even more worthless, some chapters have only 2 or 3 worked problems per chapter. Learning statistics with this book in a distance education course is really more painful than it should be. If you have to get this book, do not waste your money on the student solution manual.
This book may be a good reference to someone who already knows statistics, but to someone learning, especially without the benefit of lectures, the description and examples are way too sparse.

Not that good.......2007-05-12

The answers it gives you are sporadic and some are hard to follow. I was expecting solutions to all the odd problems and a little more detail with the solutions. I would not recommend buying this unless it were $10 or less.

Applied Statisitics and Probability for Engineers.......2006-11-05

Very comprehensive text, would be an excellent undergraduate text or
postgraduate reference. Must have book for Statistics and Probability.

Best engineering text on statistics.......2006-02-12

The third edition has been improved but has the same practical feel as earlier editions. Real data is used for most examples and having the "entire book" on a CDROM including the data sets, solution manual and supplimental material puts this text "over the top" in terms of usefulness. It is an excellent reference for the practical engineer who uses statistics only occasionally.

I use this in industry and teach internal (to the company) courses using this text. The CDROM really makes it the text of choice.

History: Fiction or Science? (Chronology, No. 1)

Average customer rating:

Calculations are only as good as your numbers
Pants on fire?
Accepted History & Chronology Must Be Changed.
Very Interesting
History as Science Fiction

History: Fiction or Science? (Chronology, No. 1)
Anatoly Fomenko
Manufacturer: Mithec
ProductGroup: Book
Binding: Paperback

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ASIN: 2913621058

Book Description

Recorded history is a finely-woven magic fabric of intricate lies about events predating the sixteenth century. There is not a single piece of evidence that can be reliably and independently traced back earlier than the eleventh century. This book details events that are substantiated by hard facts and logic, and validated by new astronomical research and statistical analysis of ancient sources.

Customer Reviews:

Calculations are only as good as your numbers.......2007-08-03

Yes, we can all agree that mainstream history is nearly 100% BS due to politics, economics, ego, problems with dating techniques, and various conspiracies. Agreed. But, I've been researching the distinct possibility that human history (in terms of civilizations) are much more ancient than we've been told, so coming across this book was very interesting to me. I wondered how Fomenko could be wrong (if at all) because he is very persuasive in his presentations. Then it dawned on me. If at previous times in prehistory, due to the various catastrophies that are well documented (comets, asteroids, planetary disruptions, plasma discharge, pole reversals, etc) the Earth was in a different position in relation to the sun, different tilt on its axis, different orbit, different rotation (in terms of velocity and DIRECTION), and the continents were in different positions, then would this not cause the ancients to see the sky (constellations) differently? In other words, is Fomenko making erronious assumptions about the physics of the Earth in pre-history, which then corrupt his data with regards to dating the relevant astrology? The last event to seriously disrupt our planet occured roughly 3500 years ago, according to other good researchers, so is it possible Fomenko has been confused by this? The vastly different physics of our planet in the not so distant past may explain this confusion, which is not to say the "mainstream" version of history is correct; on the contrary. I am not an expert in these fields, but wanted to see if this idea could spark discussion.

Pants on fire?.......2007-07-19

Will people ever read before spamming? Yes, Jesuits could not rewrite world history alone, they had help. Anyway, Dr Prof Acad A.Fomenko does not point to jesuits as the driving force of world wide history manipulation in published volumes 1,2,3;, actually he barely mentions the poor devils. Check it with 'Search inside' feature, please. China is rarely mentioned either, in fact, Dr Fomenko is completely eurocentric. Right, his theory contradicts all mainstream schools of history, because in their actual state they are all built on blatantly erroneus chronology. You don't need a mysterious cabal (conspiracy) to falsify history, the falsification is its modus operandi. It is inherent to history(ians) to falsify (distort) events, as it is inherent to humans to boast as it is inherent to power (authority) to legimize itself by referrring to glorious past made to its own order. Dr Prof Fomenko and team have identified scores of instances of such manipulation in Russian, European, etc.. history, and delivered valid statistical proof thereof. His own 'reconstruction' is completely another story. Forget c14 as a valid method of dating. W.Libby has initially discovered a brilliant method of INDEPENDENT dating. Too bad, c14 method has become a joke after a forced marrige with dendrochronology with consensual chronological scale inbuilt. Radiocarbon method can't stand blind tests, but is so very productive as a rubberstamp.

Accepted History & Chronology Must Be Changed. .......2007-04-09

There is no doubt that history as most know it is a sham, & institution's version of History both University & Church is fradulent & inaccurate. Everything was established with an agenda, The real "Dark Ages" are now when we have access to incredible amounts of information past authorities & more important 'common folk' didn't have but our institutions & educators are slow to evolve because of what has ignorantly & arrogantly been taught for too long. This is on many subjects not just Chronology.

For anyone to question "Why would a Mathematician have anything credible to say of History?" The answer is from Dr. Fomenko's preface in the book: "It would be worthwhile to remind the reader that in the XVI-XVII century Chronology was considered to be a subdivision of Mathematics." These volumes could possibly be some of the most important works to date & should be read by everyone with an interest in History, especially professors & educators who have a duty to the public. I have read both books & must say that 'Chronology 1' has some very eye opening & revolutionary information. Even if these volumes are part true the implications are profound & opens the doors to further investigations & questions which must be done. I speak several different lanquages & must say the logic Dr. Fomenko uses with "inflection" of words & words being read from left to right in one region & right to left in another then written backwards, the removal of vowels & get down to basics of words, or different cities & locations having the same name etc. is correct. Vowel usage has always been optional & varied, actually complicating linquistics & study. The first thing one has to understand is that words never had a fixed spelling in history like we do now, the spelling of words was mutable & regional, as well as names & titles of people were vast, varied & changed, NOTHING WAS FIXED or understood linear. Matters of Life & Death as well as financial profiteering yesterday & today were & are made with ignorant, illogical & conspiratorial views of history & reality, it's time people get closer to the Truth & society collectively grow up.

Very Interesting.......2007-03-07

It is a good proposal and I believe it will mature into something even better in the future. I think it deserves to be read.

History as Science Fiction.......2007-01-10

Anatoly Fomenko has written a very intriguing book, full of pictures, charts, and computer 'proof' of his thesis: backwards of AD900 we don't really know what happened or when. Between AD900 and AD1600 there is more certainty, but there is still a lot of fuzzy ground, and things don't get reliable until we get past the 1600's where the printing press made it very difficult for the perpetrators of this timeline manipulation to change anything that had been committed to print. The Dark Ages did not happen. Books were burned for a reason. One organization has doubled the actual length of its existence by expanding the real chronology. Read why.

I had always wondered why Christ died about AD33 and yet men waited until the 11th century to form the Knights Templar, the Cathars, etc and go after the Holy Land by force. Why the 1000 year gap? Turns out there wasn't more than a 10-12 year gap and he proves it using astronomy. This also implies that the planet is not as old as we have been told, and current Christian and other creationist scientists are already championing that idea without being aware of Fomenko's book. The two groups, creationist scientists and the Russian mathematical analysts corroborate each other. Fascinating.

Of course, all this flies in the face of what we have been told traditionally is the 'proper' chronology of western civilization, and most readers will experience 'cognitive dissonance' in reading this book. It means that our history going backwards from AD1600 becomes progressively more incorrect and unreliable until it cannot be trusted at all... in the space of 700-800 years.

Naturally, the curious, open-minded reader will want to know WHO did this, WHY, and did any of the events we think of as really ancient ever happen?
Dr. Fomenko is a respected scientist/mathematician at Moscow State University who has already answered these questions to the satisfaction of his initially skeptical colleagues. Most of them are now believers, a few still refuse to believe (the usual diehards), and of course the western press has ignored Fomenko's work -- for obvious reasons when you read the book. The ones who perpetrated this chronology ruse have a lot to answer for. They are still with us. That's why this book is a well-kept secret.

I gave the book a 4-star rating because I was unable to check out some of his claims; those I checked were as he said. But if even 1/3 of his claims are true, this punches a big hole in what we think is our history, the meaning of western civilization, our educational process (for repeating the ruse as gospel), and the trustworthiness of the organization that perpetrated this ruse, well-intentioned or not.

This book relates to current research into a Young Earth paradigm, to John Keel's discoveries about our planet, and Fr Malachi Martin's insights (in his now out-of-print books). We are indeed sheep who are manipulated and kept ignorant -- for a reason. While knowing what these men have to say may be the "booby prize" (as in: 'what can you do with this knowledge?'), it will provide interesting reading. Didn't someone say: "...and the Truth will set you free."?? For you to judge if this book contains the truth.

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