Implementing Six Sigma: Smarter Solutions Using Statistical Methods, Second Edition

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

Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory

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
Manufacturer: Prentice Hall PTR
ProductGroup: Book
Binding: Hardcover

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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.

Introduction to Statistical Quality Control

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

Introduction to Statistical Quality Control
Douglas C. Montgomery
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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Accessories:

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.

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.

And I have this book as text for my paper.

Average customer rating:

Crummy Book

A Very Good Reference

Badly Organized, examples pointless and only add to the confusion

A Book for a Freshmen Level College Course?

Hard to learn from...

Probability and Statistics for Engineering and the Sciences (with Student Suite Online)
Jay L. Devore
Manufacturer: Duxbury Press
ProductGroup: Book
Binding: Hardcover

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Probability and Statistics for Engineering and Science

Mechanics of Materials

Fundamentals of Fluid Mechanics

Data Analysis with Microsoft Excel: Updated for Office XP (with CD-ROM)

Linear Algebra with Applications (7th Edition)

Accessories:

Student Solutions Manual for Devore's Probability and Statistics for Engineering and the Sciences, 7th

ASIN: 0495382175

Book Description

This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics to actually putting the statistical methods to use. Rather than focus on rigorous mathematical development and potentially overwhelming derivations, the book emphasizes concepts, models, methodology, and applications that facilitate your understanding.

Customer Reviews:

Crummy Book.......2007-09-26

I hated reading this book. The examples really sucked. There was no way to figure out how to do the even numbered problems in the homework section because the author did not explain enough. If you can buy another book for learning statistics you should. If you can't; There is a solutions guide available. However, it is written by a different author for an earlier edition of this book. I think it was for the forth or fifth edition. The solutions guide had most of the odd numbered questions the same. You can learn a lot more from reading it than the text book.

I bought a Stastics DVD titled "Statistics" by Video Aided instruction at [...]. It was really good at teaching the concepts. Good Luck.

A Very Good Reference.......2007-09-25

This book blends theory and practice nicely. It goes beyond the "how to" just enough to help better understand the mechanics of Statistics. This is very important in engineeering because a computer can do the calculation, but it is the engineer who would make sense out of the results. Although I found several printing errors, but they did not impede my reading. I am waiting for the author to publish the new edition of Applied Statistics for Engineers. The two books would go together well.

Badly Organized, examples pointless and only add to the confusion.......2007-03-29

One of the worst features of this textbook is organization. Expect some questions to ask you to flip back to a previous question requiring you to flip thru several pages for a single question. Would it have been so difficult to rewrite out a few numbers instead of See Problem #12.

Also question numbering is completely absurd, rather than going from 1-X they for some reason carry the X to the next section example chapter 1-1 would be problems 1-20, chapter 1-2 21-30... etc it only adds to the confusion of this worthless text.

Don't expect to learn anything from the textbook the examples are difficult to understand, and avoids any problems you would expect to see in your lifetime.

One of the greatest aspects of probably and statistics is being able to calculate odds in games. Such as probably of blackjack hands, dice rolling, this textbook manages to avoid everything that has to with things like that.

A Book for a Freshmen Level College Course?.......2007-02-02

We are currently two chapter into the book and I have found the text to be nearly useless. There are solid proofs of the basic computations and examples are given. Unfortunately the formulas are extremely abstract while at the same time using mathematical jargon someone who has not taken statistics before would have little to no experience with. Some of the examples are great at helping you out on the first part of problems, but on parts c,d,e,f and g there isn't a whole lot to go off of. But as always universities never choose books based on how well it teaches a student, but normally by the number of editions the publisher puts out and the price of the book. If possible I would have a solutions manual on hand for homework.

Hard to learn from..........2006-12-22

I had this book for an undergrad web based distance learning course. We covered up to chapter 9.

This book is very hard to learn from. It seems to concentrate on explaining a lot of theory, but htere are not enough illustrations or graphs to be able to follow the discussion.

In addition,unfortunately, when you go to do the problems, very little in the discussion or the examples are helpful in figuring out what to do. The sections on probability were especially guilty in this regard.

The use of symbology is also confusing. Theta and Theta hat are thrown in to material with no explanation of what theta is representing.

The attached CD has some good interactive elements that were some help in understanding the material.

Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability)

Average customer rating:

Review for Monte Carlo Methods... by P. Glasserman
Best financial engineering book on MC
good book on Monte Carlo in Finance
Excelent choice on finance Monte Carlo
Brilliant

Monte Carlo Methods in Financial Engineering (Stochastic Modelling and Applied Probability)
Paul Glasserman
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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Accessories:

ASIN: 0387004513

Book Description

Monte Carlo simulation has become an essential tool in the pricing of derivative securities and in risk management. These applications have, in turn, stimulated research into new Monte Carlo methods and renewed interest in some older techniques.

This book develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. It divides roughly into three parts. The first part develops the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of several of the most important models used in financial engineering. The next part describes techniques for improving simulation accuracy and efficiency. The final third of the book addresses special topics: estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios.

The most important prerequisite is familiarity with the mathematical tools used to specify and analyze continuous-time models in finance, in particular the key ideas of stochastic calculus. Prior exposure to the basic principles of option pricing is useful but not essential.

The book is aimed at graduate students in financial engineering, researchers in Monte Carlo simulation, and practitioners implementing models in industry.

Mathematical Reviews, 2004: "... this book is very comprehensive, up-to-date and useful tool for those who are interested in implementing Monte Carlo methods in a financial context."

Customer Reviews:

Review for Monte Carlo Methods... by P. Glasserman.......2007-07-16

The book is just right for a reader who is looking for state-of-the-art techniques in Monte-Carlo methods in general. The fact that the book is specific to financial systems does not limit the usability of the book in the manner it is written. There are a lots of useful references one can get out of this book.
The book is for advanced readers in the sense that it requires rigorous mathematical ability to understand all the concepts. It is by no means for a novice reader and requires background in computational mathematics.

Best financial engineering book on MC.......2007-06-29

This is like the bible of Monte Carlo methods in financing. Both a good read and a good reference book. Must have! for any quant on wall street.

good book on Monte Carlo in Finance.......2007-04-02

But it seems the author is a little focused on selling his ideas, but not a very subjective overview of all topics in M-C method in finance.

Excelent choice on finance Monte Carlo.......2007-03-08

Clear and sound theoretical background on applied Monte Carlo for finance.

Brilliant.......2006-12-26

Almost everything related to Monte Carlo in Financial Engineering is covered at just the right level of detail. Quite easy to read too.

Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory

Average customer rating:

Simply good..!
"Textbook Binding" is rather poor
low quality paper
If you want to learn detection theory get this book.
The best textbook in Estimation Theory

Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory
Steven M. Kay
Manufacturer: Prentice Hall PTR
ProductGroup: Book
Binding: Textbook Binding

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ASIN: 013504135X

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.

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.

Average customer rating:

Excelent reference both for theory and practice
A definite guide
bloated
Convex Optimization

Convex Optimization
Stephen Boyd , and Lieven Vandenberghe
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Hardcover

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ASIN: 0521833787

Book Description

Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

Customer Reviews:

Excelent reference both for theory and practice.......2006-03-02

The book provides sound theoretical basis in a non-intimidating way. It also presents many examples that help the reader understand and relate his or her specific needs to general convex optimization problems. I think this book is a really good compromise between theory and practice: it can please the more mathematics-oriented with proofs, definitions, and bibliography; as well as the more application-oriented with examples, implementations, and heuristics. The authors have been very generous in allowing the free download of the full book from their website.

A definite guide.......2006-01-15

The book excels in readability and style. A perfect balance on the theoretical and practical aspets of the convex optimization. As the name implies, and also as the authors put in preface, it is about recognizing, formulating, and solving convex optimization problems. Provides necessary mathematical background in the first part---not as deeply as a gradute level convex analysis book---and therefore helps reader build a working knowledge. If something is not covered in this part but essential for a working knowledge, then it is in the appendices for sure. Provides a wealth of examples, exercises, and applications. Perfect for self-study as well as classroom use.

bloated.......2005-12-02

as most engineering books, this one lacks depth and rigor. the development of the theories is often cluttered with TOO many examples.

this seems a swing to another extreme from most mathematical books where the naration is often too formal and lacks examples. (that old fool Rockafellar's book doesn't have one single figure in the entire book!)

IMHO, something in between is needed.

Convex Optimization.......2005-05-03

This is an absolutely wonderful work on the subject. It delivers precisely what the preface promises -- a very comprehensive introduction to convex optimization for users. Moreover, it delivers far more, for it is incredibly well-written and unusually accessible. It's a joy to read.

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; “dummy” 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.

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