Handbook of Design and Analysis of Experiments

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Angela Dean, Max Morris, John Stufken, Derek Bingham
CRC Press, 2015 M06 26 - 960 páginas
This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models and algorithms applicable to a wide variety of design problems. It also explores the extensive use of experimental designs in marketing, the pharmaceutical industry, engineering and other areas.
 

Contenido

History and Overview of Design and Analysis of Experiments
3
Introduction to Linear Models
63
Designs for Linear Models
97
Blocking with Independent Responses
99
Crossover Designs
159
Response Surface Experiments and Designs
197
Design for Linear Regression Models with Correlated Errors
237
Designs Accommodating Multiple Factors
277
Optimal Design for Spatial Models
549
Computer Experiments
575
Design of Computer Experiments Introduction and Background
577
Latin Hypercubes and SpaceFilling Designs
593
Design for Sensitivity Analysis
627
Expected Improvement Designs
675
CrossCutting Issues
717
Robustness of Design
719

Regular Fractional Factorial Designs
279
Multistratum Fractional Factorial Designs
321
Nonregular Factorial and Supersaturated Designs
339
Structures Defined by Factors
371
Algebraic Method in Experimental Design
415
Optimal Design for Nonlinear and Spatial Models
455
Optimal Design for Nonlinear and Spatial Models Introduction and Historical Overview
457
Designs for Generalized Linear Models
471
Designs for Selected Nonlinear Models
515
Algorithmic Searches for Optimal Designs
755
Design for Contemporary Applications
785
Design for Discrete Choice Experiments
787
Plate Designs in HighThroughput Screening Experiments for Drug Discovery
833
UpandDown Designs for DoseFinding
857
Optimal Design for EventRelated fMRI Studies
895
Back Cover
925
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Angela Dean is professor emeritus in the Department of Statistics and a member of the Emeritus Academy at The Ohio State University. She is a fellow of the American Statistical Association and the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. Her primary research focuses on the design of screening experiments.

Max Morris is professor and chair of the Department of Statistics at Iowa State University, where he also holds a courtesy appointment in the Department of Industrial and Manufacturing Systems Engineering. He is a fellow of the American Statistical Association. His research program focuses on the design and analysis of experiments, with special emphasis on those that involve computer models.

John Stufken is the Charles Wexler Professor in Statistics in the School of Mathematical and Statistical Sciences at Arizona State University. He is a fellow of the American Statistical Association and the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. His primary area of research interest is the design and analysis of experiments.

Derek Bingham is professor in the Department of Statistics and Actuarial Science at Simon Fraser University, Burnaby. His primary research interests lie in the design and analysis of physical and computer experiments.

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