Design and Analysis of Experiments 2nd Edition by Angela Dean, Daniel Voss, Danel Draguljić 3319522487 9783319522487

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ISBN-10 :  3319522487 

ISBN-13 :  9783319522487

Author:  Angela Dean, Daniel Voss, Danel Draguljić 

This textbook takes a strategic approach to the broad-reaching subject of experimental design by identifying the objectives behind an experiment and teaching practical considerations that govern design and implementation, concepts that serve as the basis for the analytical techniques covered. Rather than a collection of miscellaneous approaches, chapters build on the planning, running, and analyzing of simple experiments in an approach that results from decades of teaching the subject. In most experiments, the procedures can be reproduced by readers, thus giving them a broad exposure to experiments that are simple enough to be followed through their entire course. Outlines of student and published experiments appear throughout the text and as exercises at the end of the chapters. The authors develop the theory of estimable functions and analysis of variance with detail, but at a mathematical level that is simultaneously approachable. Throughout the book, statistical aspects of analysiscomplement practical aspects of design.  This new, second edition includes an additional chapter on computer experiments additional “Using R” sections at the end of each chapter to illustrate R code and output  updated output for all SAS programs and use of SAS Proc Mixed new material on screening experiments and analysis of mixed models

Design and Analysis of Experiments 2nd Table of contents:

1. Principles and Techniques
2. Planning Experiments
3. Designs with One Source of Variation
4. Inferences for Contrasts and Treatment Means
5. Checking Model Assumptions
6. Experiments with Two Crossed Treatment Factors
7. Several Crossed Treatment Factors
8. Polynomial Regression
9. Analysis of Covariance
10. Complete Block Designs
11. Incomplete Block Designs
12. Designs with Two Blocking Factors
13. Confounded Two-Level Factorial Experiments
14. Confounding in General Factorial Experiments
15. Fractional Factorial Experiments
16. Response Surface Methodology
17. Random Effects and Variance Components
18. Nested Models
19. Split-Plot Designs
20. Computer Experiments

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Tags: Design, Analysis, Experiments, Angela Dean Daniel Voss, Danel Draguljić