Book Description
The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Customer Reviews:
Great product & service.......2007-09-21
This was my first purchase from amazon and I was totally impressed by the quality of the product and the service! I would buy again from the same seller and recommend others to do the same.
A Very Bad Sequel.......2007-03-09
I have now used this book 3 times for a class. While the 1st edition did a nice job of covering the material in its time, the additions to in the 2nd addition are a disaster. What the book has going for it is that it at least lists the necessary material for such a course in the table of contents. However, all the additional material is poorly explained at best. The problem sets are too few and the ones that are included are generally weak.
I have tried to use this book, but after constant student complaints and my own difficulty with the text, I have finally concluded that the problem lies with the text and not with the users.
I think an indicator of problems was the large number of errors in the first printing; large here is an understatement. Even in later additions, the 4th, the size of the errata is huge. I think this is indicative of the authors' attention to detail and seriousness in preparation. I have found similar errors and ambiguities in the associate Computer Manual.
The bottom line is that this book has seen its final appearance in our curriculum. I would use any other text, even an older one.
There is simply not enough room or time to point out all the problems with this text. Do yourself a favor if considering this text for a class. Don't bother.
The best book for the discussed field.......2007-02-05
The discussed book is very explanatory and could be students' material for academic lessons.
great book.......2007-01-16
easy to read for computer scientists who are not necessarily experts in statistics. the code in matlab is very good, and helps a lot.
this book is a good introduction to machine learning.
Very well written.......2006-02-26
I liked this book because it does a great job explaining the concepts and the reasoning behind the mathematical formulae. Other books such as "The Elements of Statistical Learning" toss the Math formulas at you and expect you to figure out the significance or the importance of 'em. The book does not shy away from Math - but does a great job presenting it.
Book Description
- Includes new and expanded coverage of Six Sigma infrastructure building and benchmarking.
- Provides plans, checklists, metrics, and pitfalls.
Download Description
This new and significantly revised edition of Implementing Six Sigma goes well beyond traditional Six Sigma methodologies, introducing an enhanced roadmap- S4/IEE (Smarter Six Sigma Solutionssm/Integrated Enterprise Excellence). This cutting-edge approach offers a solution to the common problem of sustaining Six Sigma activities and downplays the traditional policy stating that Six Sigma projects must have a defined defect. A variety of plans, checklists, metrics, and warnings of potential pitfalls provide thorough preparation for anyone implementing Six Sigma strategies. With new coverage of Six Sigma infrastructure building, benchmarking, and real-world" lessons learned, " this Second Edition is the best available tool for implementing these powerful, profit-building strategies.
Customer Reviews:
Very useful book - faulty cover!.......2007-09-01
The book is a comprehensive review of 6Sigma tools and 6Sigma Project management life cycle. Hard reading. Recommended if there is no fault with the book! This suppose to be a new book from amazon.com I can not send it back as this is very heavy and I need it!!
Book " Implementing 6 sigma: Smarter solutions using statistical methods".......2007-05-26
Excellent condition of the book, as they mentioned, it arrived on time according to what the deal was, this is an excellent vendor
The must-have on every six sigma shelf.......2006-11-12
I have been using this book for the past few years and it continues to be the most valuable Six Sigma resource on my bookshelf. It is the most complete and practical Six Sigma book you will find, and worth every dollar. Every six sigma black belt I have worked with owns a copy of this book
This book is absolutely packed with useful examples - providing you with both the formulas to solve the Six Sigma tests, and also the solutions.
This is a manufacturing-centric six sigma book. If you are dedicated to service application of six sigma, I would recommend reading "Six Sigma for Transactions and Service."
If you are interested in learning about six sigma, or are a green-belt or a process improvement or enterprise modeler, this probably isn't the book for you. However if you are a black belt and apply six sigma methods on a consistent basis, this is a must-read ...
Implementing Six Sigma Review.......2006-02-28
I have read multiple books on Six Sigma, but "Implementing Six Sigma", is by far the most practical with a perfect balance of statistical concepts and everyday examples. Finally, there is a book that can show Executives, there is a better way, a true management system that links strategic objectives to bottom-line results. This book is a must for all Six Sigma practioners.
This is the only Six Sigma book you will need.......2006-02-26
This is the only Six Sigma book that covers all aspects of the methodology. You will not find another book that analyses every aspect of Six Sigma so deeply and yet, in a way that makes it so easy to understand.
As a professional of Six Sigma, I have been through every book about the subject that deserves attention but none of them comes anywhere close to Breygogle's "Implementing Six Sigma". Not only does the second edition cover the Lean methodology, but it also delves into the Theory OF Constraints and very clearly shows how it can be used for Six Sigma project selections.
No wonder why this book is the only one recommended by ASQ for their Six Sigma Black Belt preperation and no wonder why Breyfogle won the Crosby Medal.
Great book! I give it a 5 plus.
Issa Bass
Average customer rating:
- Legendary and masterpiece in estimation theory
- couldn't rate 6... a must !
- A reference for self-directed study
- The book has depth and is well written
- An Excellent Book in Estimation Theory
|
Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory
Steven M. Kay
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Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory
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Statistical Digital Signal Processing and Modeling
ASIN: 0133457117 |
Amazon.com
This text is geared towards a one-semester graduate-level course in statistical signal processing and estimation theory. The author balances technical detail with practical and implementation issues, delivering an exposition that is both theoretically rigorous and application-oriented. The book covers topics such as minimum variance unbiased estimators, the Cramer-Rao bound, best linear unbiased estimators, maximum likelihood estimation, recursive least squares, Bayesian estimation techniques, and the Wiener and Kalman filters. The author provides numerous examples, which illustrate both theory and applications for problems such as high-resolution spectral analysis, system identification, digital filter design, adaptive beamforming and noise cancellation, and tracking and localization. The primary audience will be those involved in the design and implementation of optimal estimation algorithms on digital computers. The text assumes that you have a background in probability and random processes and linear and matrix algebra and exposure to basic signal processing. Students as well as researchers and practicing engineers will find the text an invaluable introduction and resource for scalar and vector parameter estimation theory and a convenient reference for the design of successive parameter estimation algorithms.
Book Description
A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.
Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems.
MARKETS: For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals — radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.
Customer Reviews:
Legendary and masterpiece in estimation theory.......2004-06-13
Without any hesitation, I consider this book as a masterpiece in the area of statistical signal processing. Kay takes the reader to the journey of estimation theory as if a science teacher takes his students to a field trip. The one special feature of this book is the convergence of thought that reader obtains upon reading the book. Kay lays a fundamental bridge between various estimators using his succinct style for describing the subject.
Few special areas require more attention in this book. For example the coverage of EM methods is very condense and requires more elaboration. Also there is no discussion on the estimation methods using higher order statistics.
Overall I consider this book as the best book I have read ever and I highly recommend this book to those who want to obtain an ever-lasting view on statistical signal processing.
couldn't rate 6... a must !.......2003-08-12
I've had tough courses on statistical signal processing as a post-grade student. I am often confused in front of a problem and turning back to the notes taken in class doesn't help much.
When you read this book all gets bright. I am still wondering how some teachers can be so confusing while such good books do exist...
However don't count on it for in depth mathematical demonstrations, it starts with a practical problem and explains how to model things. Thus it is a bit bottom-up but anyway starting from a good graduate level in signal and stats.
I got this one at the library but already ordered a copy for myself and am planning to get part2 on detection.
A reference for self-directed study.......2003-06-09
This text is very good for those who start doing research in statistical signal processing. A lot of explanations, technical terms are well presented and consistent, plus a number of examples that help you to learn about different statistical signal processing concepts and algorithms. Research students can be beneficial alot from this text.
The book has depth and is well written.......2003-02-08
This is one of the best references on statistical signal processing. The topic is not of simple matter, but the author presents the materials clearly together with great examples. The book is reader-friendly and is relatively error-free. I have bought several copies for my PhD students at Georgia Tech.
An Excellent Book in Estimation Theory.......2002-03-04
This book was asigned to me for a graduate course in Statistical Signal Estimation. The book was very useful and easy to read. It was well written and had helpful examples. I recommend this book for any one who wants to learn about Estimation Theory.
Average customer rating:
- Do not buy this CRAM book.
- Sacred Book on SQC
- Great SPC book
- good book worst service
- Everything You Ever Wanted to Know about SPC
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Introduction to Statistical Quality Control
Douglas C. Montgomery
Manufacturer: Wiley
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Introduction to Statistical Quality Control, Student Resource Manual
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Design and Analysis of Experiments
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Lean Six Sigma : Combining Six Sigma Quality with Lean Production Speed
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Facilities Planning
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Applied Statistics and Probability for Engineers
Accessories:
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Introduction to Statistical Quality Control, Student Resource Manual
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A Guide to Writing as an Engineer
ASIN: 0471656313 |
Book Description
This book is about the use of modern statistical methods for quality control and improvement. It provides comprehensive coverage of the subject from basic principles to state-of-art concepts and applications. The objective is to give the reader a sound understanding of the principles and the basis for applying them in a variety of both product and nonproduct situations. While statistical techniques are emphasized throughout, the book has a strong engineering and management orientation. Guidelines are given throughout the book for selecting the proper type of statistical technique to use in a wide variety of product and nonproduct situations. By presenting theory, and supporting the theory with clear and relevant examples, Montgomery helps the reader to understand the big picture of important concepts. Updated to reflect contemporary practice and provide more information on management aspects of quality improvement.
Customer Reviews:
Do not buy this CRAM book........2007-01-22
If you want to understand and pass a subject, you have to read the original book (here Introduction to Statistical Quality Control by Montgomery) and try to understand the examples and the concepts in the book. In addition you have to do several exercies in this book to reinforce this understanding. Studying some outlines, highlights and notes prepared by other people won't help you much.
Sacred Book on SQC.......2007-01-12
If you are looking to be well versed on the principle of Statistical Quality Control, then you need this book.
Great SPC book.......2004-08-14
Used this book in a graduate level course on SPC. The book and the excercises were interesting and highly informative, as are all of Dr. Montgomery's numerous texts. Most concepts are backed up with liberal examples to help understand the theory and cement the concept and their practical applications, and run the whole gamut from management to electrical engineering problems. Many of the tables in the back of the book, such as the random number table, are outdated due to computers, however these may have been dropped in the new version of the text.
good book worst service.......2004-06-30
the book is very good ..no doubt but the service is aweful.
1. on the website they show it is a hardcover book and so i ordered for it but got a soft cover book ...now i have to worry about return or refunds etc...
2. had to wait for 3 weeks to get the book.
3. print quality aweful ...the original book has good color print...the one i received for the same price has a black and white print with very thin see-through pages...
my advice would be to avoid abebooks.com through amazon if possible because the same book is listed for $ 33 on their own website and here they sell it for $ 41 ...so waste ur money if u want.
Everything You Ever Wanted to Know about SPC.......2003-09-12
As the developer of the QI Macros SPC Software for Excel, customers often call with exotic questions about statistical methods for quality control.
Montgomery's book, more often than not, is the one I turn to for answers that I can't seem to find anywhere else. Even if I do find the answer in another book, it's always easier to understand in Montgomery's. The book is written in a way that makes seemingly incomprehensible statistics understandable. And there are plenty of examples.
If you're looking for a book to help you implement quality control in a small business, Montgomery's book is a bit too much, so you might consider my book on the Small Business Guerrilla Guide to Six Sigma or Six Sigma Simplified.
Customer Reviews:
Simply good..!.......2007-06-27
Well..would say a life time reference book for me...bt as chapters progress it assumes you have the other twin too .. (estimation theory)..better invite them to your shelf together to get a feel ..!
But this costly book comes with a worst-ever-binding..which appears to be firm from outside...Initially I thought it was only me who suffered from this ..but it seems many has expressed the same view...papers coming out day-by-day
"Textbook Binding" is rather poor.......2007-03-10
After buying a book for about $80 I expect to get value for my money. I was extremely disappointed to note that just one week after using the textbook (and solving exactly one homework assignment of 4 problems) the pages began to come out. I have seen other friends who bought the book have a similar problem. The contents of the book deserve 4 stars. But the lousy binding pulls down its rating to 2 stars.
low quality paper .......2006-10-17
For a $90+ book the quality of paper is low and binding very bad. On the very day I got the book from Amazon, I had papers coming out unstuck. The paper used is not archival quality, typically expected for such high priced books. I am very disappointed. I have no doubts the text material is great and will be valid for a long time but I am sure the paper will not last even a few months.
If you want to learn detection theory get this book........2001-04-12
This book presents the fundamental ideas in detection theory (Hypothesis testing for you math types) in a very accessible way. It was one of the few textbooks I could read without feeling like I should be taking a class to go along with it. First the book starts off with a short chapter explaining what detection theory is. This chapter is so well written and illustrated that I've used it to explain to my friends what it is I do at work. This type of very good introduction is repeated at the start of each chapter. But I would have to say the strength of the book is in the examples. All the main ideas are demonstrated by examples that have been worked out in detail. There are several of these worked out examples per chapter and they range form simple, to the kinds of problems you may face in real life. I keep this book on my desk at work, and on more than on occasion I looked liked a genius by using this book and it's examples to solve a problem in minuets that looked like it would take hours (or days).
The best textbook in Estimation Theory.......1999-11-19
Steven Kay has done a superb job. His coverage of different aspects of estimation theory make this book an excellent reference for the working engineer, as well as a great college textbook. All the topics are well covered, there are meaningful examples that apply the theory to different aspects of signal processing, and the problem sets are very useful. Also, the addition of small appendixes to the end of some chapters is very unique. They usually contain additional material to clarify a method presented in the chapter or discuss some mathematical result. A book that can balance theory with practical applications is not easy to find, especially in a difficult area like statistical signal processing. This is the ultimate guide to estimation theory and its applications.
Book Description
Assuming no prior MATLAB experience, this clear, easy-to-read book walks readers through the ins and outs of this powerful software for technical computing, including:
- Generously illustrated computer screen shots and step-by-step tutorials applied in the areas of mathematics, science, and engineering
- Clearly shows how MATLAB is used in science and engineering
- Includes a completely new chapter on Symbolic Math
- Thoroughly updated to match Matlab's newest release, Matlab 7
Customer Reviews:
Great for learning the basics of MATLAB........2007-08-18
I purchased this title because I am starting a numerical analysis sequence next year using Matlab and I knew only how to plot in 2D and do simple calculations at the command line. After studying from Gilat's text for the past month or so I feel very comfortable using Matlab for all the basics and I am ready to learn how to exploit the full power of the program.
Each chapter gives just enough mathematical background to provide anyone with at least college algebra/trig enough to understand what is going on.
Although this book does not cover any topic too deeply, it does cover the fundamentals of many aspects of Matlab in a way that allows the reader to move fairly quickly through the whole book without getting bogged down in any one area.
In the end you will know the basics about how Matlab operates: how to work with vectors and matrices, how to write simple programs and function files, how to plot and format data, how to fit data to a curve, and how to differentiate and integrate both numerically and symbolically, and a bunch of other great tools for solving problems.
Also, as the other reviewers mentioned, the book makes very good use of graphics to show how input and output should look, as well as what exactly each line means.
I would recommend this text to anyone wanting to learn the basics of Matlab.
Reader.......2007-04-23
If you plan to start with Matlab with no prior experience, this book beats most of the other available titles.Since an inside view of the book is not available on Amazon, I will for the benefit of others list out the chapters here.Ch1 begins with the necessary introduction,developing familiarity with the command window,display formats and precedence of operators.It moves on to Ch2 and Ch3 where arrays are introduced and the mathematical operations on them explained.Ch4 is about script files,Ch5 on elementary plotting techniques using in-built functions like plot and fplot.Ch6 introduces functions and Ch7 extends the previous material to formal programming techniques like loops and control structures.Ch8 explains curve fitting and interpolation,Ch9 is about three dimensional plots and special graphics.Ch10, the last one of the book uses Matlab to do symbolic math which cover elementary algebraic equations.The examples contained in the book are from elementary physics and engineering,so if you are looking for more advanced material that has been treated using Matlab,this might be a little less helpful.The numerical techniques again cover simple problems like projectile trajectory,flow of water from a vessel with a small hole punched in its sidewall,RC circuits, viscosity and so on.Relatively advanced topics like Fourier transforms and applications to signal processing are also left out.If you are done with this book or feel that the material isnt of much help, I will suggest that you might try "Numerical Computing with Matlab" by Moler(he is perhaps one of the architects of Matlab).This book(electronic version) is available for free from the mathworks website [...].Overall this book does a good job in explaining details and is also generously sprinkled with figures and screenshots.Please try it if you are first timer to Matlab.
Very good introduction.......2006-05-04
I had never used matlab when I started reading this book and I found it very easy to follow. I now have a good working understanding of the matlab basics and I recommend that anyone who's looking to get started with matlab pick up a copy.
The perfect introductory text for MATLAB.......2005-12-08
If you are completely new to MATLAB then you will find no better book to guide you through the basics. It is perfectly suited for teaching yourself several basic but still very interesting and useful programming techniques. Topics are presented to the reader in an order carefully determined to produce maximum benefit and knowledge. The book is short and very readable, with many example programs.
In short: if you want a FIRST introductory textbook for MATLAB, you can't beat this book. And it covers the latest version (Release 14).
A truly excellent text!.......2005-11-21
This book was written for teaching Matlab to freshmen in an introductory engineering course, so most of the examples are from first year physics and engineering. Nevertheless, after looking at all competing texts, I chose it to teach Matlab to sophomore geology majors, most of whom had not yet taken calculus or physics. I was very happy with the results; by the end of the semester the students were well on their way to being competent programmers, and I think they will find calculus and physics much easier because of their experience with this book.
I chose this text because it is very well written--you can tell the author has had long experience teaching the subject--and because of its many excellent examples. Most people learn faster by example than by theory, and the examples in this book are easier to follow than those of other texts. Each example shows the command window with a gray background and white insets, or call-outs, containing explanations. The pages are attractive.
In the main text, Matlab commands are set in Courier to clearly distinguish them from the discussion itself. Sections are fairly short and easy to follow, and at the end of each chapter there are many problems of gradually increasing difficulty. The solutions to some problems are given at the back of the book. The abundance of complete examples makes it easy to skip around in the book as soon as students are familiar with Matlab syntax. There are astonishingly few typos and none were serious. Cell arrays and structures are used only where needed for particular commands, a wise pedagogical decision. I particularly enjoyed the second edition's new chapter on symbolic math, as I had never used this part of Matlab in my own research.
The book is 7.5"x9.25" in size with 343 pages, and so is easy to carry around. It's inexpensive, as textbooks go nowadays.
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
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Principles of Geotechnical Engineering
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.
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.
Book Description
Given the improved analytical capabilities of Excel, scientists and engineers everywhere are using it--instead of FORTRAN--to solve problems. And why not? Excel is installed on millions of computers, features a rich set of built-in analyses tools, and includes an integrated Visual Basic for Applications (VBA) programming language. No wonder it's today's computing tool of choice.
Chances are you already use Excel to perform some fairly routine calculations. Now the Excel Scientific and Engineering Cookbook shows you how to leverage Excel to perform more complex calculations, too, calculations that once fell in the domain of specialized tools. It does so by putting a smorgasbord of data analysis techniques right at your fingertips. The book shows how to perform these useful tasks and others:
- Use Excel and VBA in general
- Import data from a variety of sources
- Analyze data
- Perform calculations
- Visualize the results for interpretation and presentation
- Use Excel to solve specific science and engineering problems
Wherever possible, the Excel Scientific and Engineering Cookbook draws on real-world examples from a range of scientific disciplines such as biology, chemistry, and physics. This way, you'll be better prepared to solve the problems you face in your everyday scientific or engineering tasks.
High on practicality and low on theory, this quick, look-up reference provides instant solutions, or "recipes," to problems both basic and advanced. And like other books in O'Reilly's popular Cookbook format, each recipe also includes a discussion on how and why it works. As a result, you can take comfort in knowing that complete, practical answers are a mere page-flip away.
Customer Reviews:
PROBLEM SOLUTION DISCUSSION.......2007-05-09
1.1 This Book
Problem
The entire book is written in this silly format.
Solution
If this sort of thing bothers you, buy something else
Discussion
This cloying and tiresome gimmick gets repeated throughout the entire book. Every time I pick it up, I feel like I'm listening to Donald Rumsfeld. There seems to be lots of good information about using Excel in scientific and engineering contexts, but the writing style is just too much for some of us. Whatever happened to straightforward narrative?
Excel Cookbook Half Baked.......2007-05-09
It appears to be a good book but the writers style lacks substance. I could have written this book! I am not an expert on Excel but I have used it since the mid to late 1980's so I know a few things. The section on VBA was weak. I expected more but got less. Most Excel books are concentrated on Business Applications and I was hopeful to find one that actually had something to do with Engineering but it was too weak. No good examples, just pictures of spreadsheets and no formulas. Cut and pasting function names is lame!
an alternative point of view.......2007-01-03
Be wary of using other programmer's work unless it has passed the
sort of critical tests as available on the NIST site.
A number of techniques in EXCEL are not useful for various
problems in the sciences. There are also problems inherent
in digital computation, regardless of language or platform,
which can result in serious errors. If you are doing serious
work, you should make the investment in the hardware and
software which can pass rigorous examination.
COOKING WITH SCIENCE AND ENGINEERING!!.......2006-08-20
Do you have scientific or engineering calculations to perform? If you do, then this book is for you! Author David M Bourg, has done an outstanding job of writing a book that shows you how to leverage Excel as a capable computing tool to solve a variety of both routine and complex problems.
Bourg, begins by covering a variety of fundamental topics, including navigating Excel's interface, entering data and formulas, and formatting cells. Then, the author covers a variety of fundamental VBA programming topics, including VBA syntax, using the VBA editor, and integrating VBA code with Excel spreadsheets. Next, he shows you how to import data into Excel from a variety of sources, including text files, databases, and the Web. The author then shows you how to visualize data in Excel. He continues by showing you how to perform standard statistical calculations in Excel, such as computing summary statistics, calculating confidence intervals, and performing analysis of variance, among other calculations. Then, the author shows you how to conduct various time series analysis tasks, including forecasting and Fourier transforms in Excel. Next, he introduces you to many of Excel's useful math functions. The author continues the discussion of data analysis, specifically focusing on curve fitting and regression analysis. Then, the author shows you how to leverage Excel to solve linear and nonlinear equations, as well as linear and nonlinear systems. Next, he shows you how to perform various numerical integration calculations, such as computing areas and moments of areas, among others. The author then shows you how to solve initial value and boundary value problems using standard numerical techniques such as the Runge-Kutta and shooting methods. He continues by showing you how to leverage Excel to help solve problems involving partial differential equations. Then, the author shows you how to perform optimization analysis using Excel's built-in optimization tools. Finally, he introduces you to some of Excel's extensive financial analysis capabilities.
This most excellent book aims to present Excel as a cradle to the grave computing environment for scientific and engineering computations. More importantly, this book shows you how to use Excel and VBA in general, how to import data from a variety of sources, analyze data, perform calculations, and finally visualize the results for interpretation and presentation.
Excellent all-purpose collection of analytical recipes.......2006-07-30
Bourg's book is an excellent collection of analytical recipes suitable for undergraduates, graduate and postdocs in all scientific disciplines. Engineers will find good treatment of important topics such as optimization and numerical integration. Statistical anlysis is also covered, although no theoritical background is provided, and in this format, none should be expected, as the author indicates. An excellent and useful book.
Book Description
"This book is a great demonstration of this powerful approach and how it can make a meaningful difference in any type of business. It takes a dedicated engineering approach to implement, but the payback in customer satisfaction and growth is dramatic."
—Lou Giuliano, chairman, president, and CEO, ITT Industries
No other single volume presents the full breadth of founding beliefs behind the successful engineering practices used by today's leading companies. Helpful to companies in both manufacturing and service industries, Taguchi's Quality Engineering Handbook provides accessible material on such topics as:
-
Quality loss function
-
On-line quality engineering
-
Signal-to-noise ratio
-
Robust engineering
-
Design of experiments (known as the "Taguchi method")
-
Mahalanobis–Taguchi Systems (MTS)
-
and more.
Prize or Award
- AAP Awards for Excellence in Professional and Scholarly Publishing, 2006
Customer Reviews:
Three words Excellent Excellent and Excellent.......2007-07-12
Really Good book. Book is written very consciously keeping all aspect of most promising but controversial topic.
AWESOME BOOK!!! SIMPLY GREAT!.......2005-10-18
well, if you are like me, always busy, and trying to find new answers to unknown problems using taguchi or other quality engineering problems, THIS IS YOUR BOOK!! this book has great cases, applicable to MANY INDUSTRIES!! it is like my Bible, i tried to sell it once, and simply BROKE MY HEART and I COULD NOT!!
This book, is an excellent job, I WISHED ONLY I WISHED!!! that my tractor or my previous car (CHEVY) was designed using REAL ROBUST DESIGN METHODS BY TAGUCHI, in that way, I would not need to go to the repair shop every now and then... :=), enjoy guys, it is simply a MASTER PIECE! considering that I worked for a japanese company as well, this book is great!!! BUY IT you won't regret it... if you love this stuff as much as I DO!! Regards Marco Sisfontes, Phd, NYC.
The Qiuality Engineering Manual.......2005-01-24
The handbook gives the true foundation for the supply of quality products or services. It focuses on the design of the product and it's need to perform correctly in the customer's use environment.
The thing I really like is the inclusion of case studies. The addition of actual applications enhances the understanding of the theory presented in the first part of the book. The case studies are also good thought starters for your applications.
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