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Design and Analysis of Experiments 2nd Edition c2017 Dean txtbk

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Books : Educational : English
         
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Design and Analysis of Experiments, 2nd
Edition (c2017), textbook by Angela Dean, Daniel Voss & Danel Draguljic.

TEXTBOOK INFO:
http://www.springer.com/us/book/9783319522487
(ISBN-13: 9783319522487 sftc)

PITCH: «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 analysis complement 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.»

BRIEF CONTENTS:
ToC with
direct page links
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