Design and Analysis of Experiments. 2nd ed. 2017

種類:

電子ブック

責任表示:

by Angela Dean, Daniel Voss, Danel Draguljić

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2017

著者名:

• Dean, Angela.
• Voss, Daniel.
• Draguljić, Danel.
• SpringerLink (Online service)

シリーズ名:

Springer Texts in Statistics ;

ISBN:

9783319522500 [3319522507]    

注記:

Principles and Techniques -- Planning Experiments -- Designs With One Source of Variation -- Inferences for Contrasts and Treatment Means -- Checking Model Assumptions -- Experiments With Two Crossed Treatment Factors -- Several Crossed Treatment Factors -- Polynomial Regression -- Analysis of Covariance -- Complete Block Designs -- Incomplete Block Designs -- Designs With Two Blocking Factors -- Confounded Two-Level Factorial Experiments -- Confounding in General Factorial Experiments -- Fractional Factorial Experiments -- Response Surface Methodology -- Random Effects and Variance Components -- Nested Models -- Split-Plot Designs.
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 as

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