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
Design and Analysis of Experiments
β Scribed by Angela Dean, Daniel Voss (eds.)
- Publisher
- Springer-Verlag New York
- Year
- 1999
- Tongue
- English
- Leaves
- 753
- Series
- Springer Texts in Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Our initial motivation for writing this book was the observation from various students that the subject of design and analysis of experiments can seem like βa bunch of miscellaneous topics. βWebelievethattheidenti?cationoftheobjectivesoftheexperimentandthepractical considerations governing the design form the heart of the subject matter and serve as the link between the various analytical techniques. We also believe that learning about design and analysis of experiments is best achieved by the planning, running, and analyzing of a simple experiment. With these considerations in mind, we have included throughout the book the details of the planning stage of several experiments that were run in the course of teaching our classes. The experiments were run by students in statistics and the applied sciences and are suf?ciently simple that it is possible to discuss the planning of the entire experiment in a few pages, and the procedures can be reproduced by readers of the book. In each of these experiments, we had access to the investigatorsβ actual report, including the dif?culties they came across and how they decided on the treatment factors, the needed number of observations, and the layout of the design. In the later chapters, we have included details of a number of published experiments. The outlines of many other student and published experiments appear as exercises at the ends of the chapters. Complementing the practical aspects of the design are the statistical aspects of the anal ysis. We have developed the theory of estimable functions and analysis of variance with somecare,butatalowmathematicallevel.
β¦ Table of Contents
Principles and Techniques....Pages 1-6
Planning Experiments....Pages 7-32
Designs with One Source of Variation....Pages 33-65
Inferences for Contrasts and Treatment Means....Pages 67-101
Checking Model Assumptions....Pages 103-134
6 Experiments with Two Crossed Treatment Factors....Pages 135-191
Several Crossed Treatment Factors....Pages 193-242
Polynomial Regression....Pages 243-276
Analysis of Covariance....Pages 277-294
Complete Block Designs....Pages 295-337
Incomplete Block Designs....Pages 339-385
Designs with Two Blocking Factors....Pages 387-420
Confounded Two-Level Factorial Experiments....Pages 421-460
Confounding in General Factorial Experiments....Pages 461-481
Fractional Factorial Experiments....Pages 483-545
Response Surface Methodology....Pages 547-592
Random Effects and Variance Components....Pages 593-643
Nested Models....Pages 645-673
Split-Plot Designs....Pages 675-694
β¦ Subjects
Statistical Theory and Methods; Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences
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