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Design and Analysis of Experiments - Hardcover By Montgomery, Douglas C. - GOOD

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Brand
Unbranded
Book Title
Design and Analysis of Experiments
MPN
Does not apply
ISBN
9780470128664
Publication Year
2008
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Design and Analysis of Experiments
Item Height
1.1in
Author
Douglas C. Montgomery
Item Length
10in
Publisher
Wiley & Sons, Incorporated, John
Item Width
8.3in
Item Weight
43.8 Oz
Number of Pages
680 Pages

About this product

Product Information

This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470128666
ISBN-13
9780470128664
eBay Product ID (ePID)
65734827

Product Key Features

Author
Douglas C. Montgomery
Publication Name
Design and Analysis of Experiments
Format
Hardcover
Language
English
Publication Year
2008
Type
Textbook
Number of Pages
680 Pages

Dimensions

Item Length
10in
Item Height
1.1in
Item Width
8.3in
Item Weight
43.8 Oz

Additional Product Features

Lc Classification Number
Qa279.M66 2008
Edition Number
7
Table of Content
Preface iii 1 Introduction 1 1.1 Strategy of Experimentation 1 1.2 Some Typical Applications of Experimental Design 8 1.3 Basic Principles 11 1.4 Guidelines for Designing Experiments 14 1.5 A Brief History of Statistical Design 19 1.6 Summary: Using Statistical Techniques in Experimentation 21 1.7 Problems 22 2 Simple Comparative Experiments 23 2.1 Introduction 23 2.2 Basic Statistical Concepts 25 2.3 Sampling and Sampling Distributions 28 2.4 Inferences About the Differences in Means, Randomized Designs 34 2.4.1 Hypothesis Testing 34 2.4.2 Choice of Sample Size 41 2.4.3 Confidence Intervals 44 2.4.4 The Case Where 45 2.4.5 The Case Where and Are Known 45 2.4.6 Comparing a Single Mean to a Specified Value 46 2.4.7 Summary 47 2.5 Inferences About the Differences in Means, Paired Comparison Designs 48 2.5.1 The Paired Comparison Problem 48 2.5.2 Advantages of the Paired Comparison Design 51 2.6 Inferences About the Variances of Normal Distributions 52 2.7 Problems 55 3 Experiments with a Single Factor: The Analysis of Variance 60 3.1 An Example 61 3.2 The Analysis of Variance 63 3.3 Analysis of the Fixed Effects Model 65 3.3.1 Decomposition of the Total Sum of Squares 66 3.3.2 Statistical Analysis 68 3.3.3 Estimation of the Model Parameters 73 3.3.4 Unbalanced Data 74 3.4 Model Adequacy Checking 75 3.4.1 The Normality Assumption 75 3.4.2 Plot of Residuals in Time Sequence 77 3.4.3 Plot of Residuals Versus Fitted Values 78 3.4.4 Plots of Residuals Versus Other Variables 83 3.5 Practical Interpretation of Results 84 3.5.1 A Regression Model 84 3.5.2 Comparisons Among Treatment Means 85 3.5.3 Graphical Comparisons of Means 86 3.5.4 Contrasts 87 3.5.5 Orthogonal Contrasts 89 3.5.6 Scheffé's Method for Comparing All Contrasts 91 3.5.7 Comparing Pairs of Treatment Means 92 3.5.8 Comparing Treatment Means with a Control 96 3.6 Sample Computer Output 97 3.7 Determining Sample Size 101 3.7.1 Operating Characteristic Curves 101 3.7.2 Specifying a Standard Deviation Increase 103 3.7.3 Confidence Interval Estimation Method 104 3.8 A Real Economy Application of a Designed Experiment 105 3.9 Discovering Dispersion Effects 107 3.10 The Regression Approach to the Analysis of Variance 109 3.10.1 Least Squares Estimation of the Model Parameters 109 3.10.2 The General Regression Significance Test 110 3.11 Nonparametric Methods in the Analysis of Variance 112 3.11.1 The KruskalWallis Test 112 3.11.2 General Comments on the Rank Transformation 114 3.12 Problems 114 4 Randomized Blocks, Latin Squares, and Related Designs 121 4.1 The Randomized Complete Block Design 121 4.1.1 Statistical Analysis of the RCBD 123 4.1.2 Model Adequacy Checking 131 4.1.3 Some Other Aspects of the Randomized Complete Block Design 132 4.1.4 Estimating Model Parameters and the General Regression Significance Test 135 4.2 The Latin Square Design 138 4.3 The Graeco-Latin Square Design 145 4.4 Balanced Incomplete Block Designs 148 4.4.1 Statistical Analysis of the BIBD 148 4.4.2 Least Squares Estimation of the Parameters 152 4.4.3 Recovery of Interblock Information in the BIBD 154 4.5 Problems 157 5 Introd
Copyright Date
2009
Topic
Industrial Engineering, Research & Methodology
Lccn
2008-019048
Dewey Decimal
519.5/7
Intended Audience
College Audience
Dewey Edition
22
Illustrated
Yes
Genre
Technology & Engineering, Science

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Most relevant reviews

  • Montgomery int'l edition

    I bought the Design and Analysis of Experiments book, 7th edition, softcover, with the erlenmeyer filled with corn cover. It's the same quality of the hardcover, and cheaper, which is better for those who doesn't care about hardcover. I hate those indian low cost editions. this one is way better, because the pages are made with that glossy paper which isn't thick but not transparent, making the book thinner and lighter than others.

  • Makes everything more complicated than it should be.

    This book loves to make everything so much more complicated. I've taken Statistics three years ago, and this book is just a big mess. Also, the international edition doesn't have the same questions as the US edition.

  • Great service

    I needed this book for a class and it was expensive everywhere else I looked. So I decided to take the plunge and just get a cheaper one from Ebay. It was cheap, yes but it came to me on time and in excellent conditions. I'll totally recommend buying books from here.

  • Good book

    I have used Montgomery books earlier for my Stat. courses. This book was recommended by the professor. It explains matter clearly with several examples. An answer key to the exercises would have been a great help.

  • Low quality edition

    The book is not hardcover as mentioned and the book also printed on the thin paper. I can see through next page. This is the first book and also the last book I bought.