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Handbook of Design and Analysis of Experiments

Edited by: Angela Dean , Max Morris , John Stufken , Derek Bingham

Print publication date:  June  2015
Online publication date:  June  2015

Print ISBN: 9781466504332
eBook ISBN: 9781466504349
Adobe ISBN:

10.1201/b18619
 Cite  Marc Record

Book description

Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments.

This carefully edited collection of 25 chapters in seven sections synthesizes the state of the art in the theory and applications of designed experiments and their analyses. Written by leading researchers in the field, the chapters offer a balanced blend of methodology and applications.

The first section presents a historical look at experimental design and the fundamental theory of parameter estimation in linear models. The second section deals with settings such as response surfaces and block designs in which the response is modeled by a linear model, the third section covers designs with multiple factors (both treatment and blocking factors), and the fourth section presents optimal designs for generalized linear models, other nonlinear models, and spatial models. The fifth section addresses issues involved in designing various computer experiments. The sixth section explores "cross-cutting" issues relevant to all experimental designs, including robustness and algorithms. The final section illustrates the application of experimental design in recently developed areas.

This comprehensive handbook equips new researchers with a broad understanding of the field?s numerous techniques and applications. The book is also a valuable reference for more experienced research statisticians working in engineering and manufacturing, the basic sciences, and any discipline that depends on controlled experimental investigation.

Table of contents

Chapter  1:  History and Overview of Design and Analysis of Experiments Download PDF
Chapter  2:  Introduction to Linear Models Download PDF
Chapter  3:  Blocking with Independent Responses Download PDF
Chapter  4:  Crossover Designs Download PDF
Chapter  5:  Response Surface Experiments and Designs Download PDF
Chapter  6:  Design for Linear Regression Models with Correlated Errors Download PDF
Chapter  7:  Regular Fractional Factorial Designs Download PDF
Chapter  8:  Multistratum Fractional Factorial Designs Download PDF
Chapter  9:  Nonregular Factorial and Supersaturated Designs Download PDF
Chapter  10:  Structures Defined by Factors Download PDF
Chapter  11:  Algebraic Method in Experimental Design Download PDF
Chapter  12:  Optimal Design for Nonlinear and Spatial Models: Introduction and Historical Overview Download PDF
Chapter  13:  Designs for Generalized Linear Models Download PDF
Chapter  14:  Designs for Selected Nonlinear Models Download PDF
Chapter  15:  Optimal Design for Spatial Models Download PDF
Chapter  16:  Design of Computer Experiments: Introduction and Background Download PDF
Chapter  17:  Latin Hypercubes and Space-Filling Designs Download PDF
Chapter  18:  Design for Sensitivity Analysis Download PDF
Chapter  19:  Expected Improvement Designs Download PDF
Chapter  20:  Robustness of Design Download PDF
Chapter  21:  Algorithmic Searches for Optimal Designs Download PDF
Chapter  22:  Design for Discrete Choice Experiments Download PDF
Chapter  23:  Plate Designs in High-Throughput Screening Experiments for Drug Discovery Download PDF
Chapter  25:  Optimal Design for Event-Related fMRI Studies Download PDF
prelims Download PDF
Index Download PDF
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