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Informationen zum Autor 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. Klappentext 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 trials* Clinical trials, group-sequential designs, and adaptive designs* Fractional factorial and search, choice, and optimal designs for generalized linear models* Computer experiments with applications to homeland security* Robust parameter designs and split-plot type response surface designs* Analysis of directional data experimentsThroughout the book, illustrative and numerical examples utilize SAS(r), JMP(r), 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, medicine, and business. "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) Zusammenfassung This third volume in the series discusses special modifications and extensions of designs that arise in certain fields of application such as genetics, bioinformatics, agriculture, medicine, manufacturing, marketing, and more. The book is written by an expert panel of contributors. Inhaltsverzeichnis Preface xvii Contributors xxi 1 Genetic Crosses Experiments 1 Murari Singh, Sudhir Gupta, and Rajender Parsad 1.1 Introduction, 1 1.2 Basic Objectives and Models, 2 1.3 Diallel Mating Design of Type I, 8 1.4 Diallel Crosses: Type II Designs, 14 1.5 Partial Diallel Crosses: No Blocking or Complete Blocks, 25 1.6 Partial Diallel Crosses in Incomplete Blocks, 32 1.7 Optimality, 44 1.8 Robustness, 59 1.9 Three- or Higher-Way Crosses, 61 1.10 Computation, 65 2 Design of Gene Expression Microarray Experiments 73 Dan Nettleton 2.1 Introduction, 73 2.2 Gene Expression Microarray Technology, 74 2.3 Preprocessing of Microarray Fluorescence Intensities, 76 2.4 Introduction to Gene Expression Microarray Experimental Design, 80 2.5 Two-Treatment Experiments Using Two-Color Microarrays, 81 2.6 Two-Color Microarray Experiments Involving More Than Two Treatments, 86 2.7 Multifactor Two-Color Microarray Experiments, 89 2.8 Phase 2 Designs for Complex Phase 1 Designs, 94
