Design and Analysis of Experiments, Special Designs and Applications

Klaus Hinkelmann 지음

Wiley 2011년 12월 28일 출간

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Provides timely applications, modifications, and extensions of experimental designs for a variety of disciplinesDesign and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations of experimental design by providing important, modern applications of experimental design to the many fields that utilize them. The book also presents optimal and efficient designs for practice and covers key topics in current statistical research.Featuring contributions from leading researchers and academics, the book demonstrates how the presented concepts are used across various fields from genetics and medicinal and pharmaceutical research to manufacturing, engineering, and national security. Each chapter includes an introduction followed by the historical background as well as in-depth procedures that aid in the construction and analysis of the discussed designs. Topical coverage includes:Genetic cross experiments, microarray experiments, and variety trialsClinical trials, group-sequential designs, and adaptive designsFractional factorial and search, choice, and optimal designs for generalized linear modelsComputer experiments with applications to homeland securityRobust parameter designs and split-plot type response surface designsAnalysis of directional data experimentsThroughout the book, illustrative and numerical examples utilize SASreg;, JMPreg;, and R software programs to demonstrate the discussed techniques. Related data sets and software applications are available on the book's related FTP site.Design and Analysis of Experiments, Volume 3 is an ideal textbook for graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medici

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Preface xviiContributors xxi1 Genetic Crosses Experiments 1Murari Singh, Sudhir Gupta, and Rajender Parsad1.1 Introduction, 11.2 Basic Objectives and Models, 21.3 Diallel Mating Design of Type I, 81.4 Diallel Crosses: Type II Designs, 141.5 Partial Diallel Crosses: No Blocking or Complete Blocks, 251.6 Partial Diallel Crosses in Incomplete Blocks, 321.7 Optimality, 441.8 Robustness, 591.9 Three- or Higher-Way Crosses, 611.10 Computation, 652 Design of Gene Expression Microarray Experiments 73Dan Nettleton2.1 Introduction, 732.2 Gene Expression Microarray Technology, 742.3 Preprocessing of Microarray Fluorescence Intensities, 762.4 Introduction to Gene Expression Microarray Experimental Design, 802.5 Two-Treatment Experiments Using Two-Color Microarrays, 812.6 Two-Color Microarray Experiments Involving More Than Two Treatments, 862.7 Multifactor Two-Color Microarray Experiments, 892.8 Phase 2 Designs for Complex Phase 1 Designs, 943 Spatial Analysis of Agricultural Field Experiments 109Joanne K. Stringer, Alison B. Smith, and Brian R. Cullis3.1 Introduction, 1093.2 Methods to Account for Spatial Variation, 1103.3 A Spatial Linear Mixed Model, 1163.4 Analysis of Examples, 1224 Optimal Designs for Generalized Linear Models 137John Stufken and Min Yang4.1 Introduction, 1374.2 Notation and Basic Concepts, 1414.3 Tools for Finding Locally Optimal Designs, 1454.4 GLMs with Two Parameters, 1494.5 GLMs with Multiple Parameters, 1554.6 Summary and Concluding Comments, 1615 Design and Analysis of Randomized Clinical Trials 165Janet Wittes and Zi-Fan Yu5.1 Overview, 1655.2 Components of a Randomized Clinical Trial, 1685.3 Bias, 1755.4 Statistical Analysis of Randomized Clinical Trials, 1825.5 Failure Time Studies, 1845.6 Other Topics, 2066 Monitoring R

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“The presentation by Wiley is superb, as we have come to expect. All in all, this is a first class offering.”( International Statistical Review, 1 October 2012)

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저자(글) Klaus Hinkelmann

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KLAUS HINKELMANN, PhD, is Professor Emeritus of Statistics at the Virginia Polytechnic Institute and State University Department of Statistics. A Fellow of the American Statistical Association and the American Association for the Advancement of Science, Dr. Hinkelmann has published extensively in the areas of design of experiments, statistical methods, and biometry.