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Stage-Wise Adaptive Designs

Shelemyahu Zacks

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John Wiley & Sons img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

An expert introduction to stage-wise adaptive designs in allareas of statistics Stage-Wise Adaptive Designs presents the theory andmethodology of stage-wise adaptive design across various areas ofstudy within the field of statistics, from sampling surveys andtime series analysis to generalized linear models and decisiontheory. Providing the necessary background material along withillustrative S-PLUS functions, this book serves as a valuableintroduction to the problems of adaptive designs. The author begins with a cohesive introduction to the subjectand goes on to concentrate on generalized linear models, followedby stage-wise sampling procedures in sampling surveys. Adaptiveforecasting in the area of time series analysis is presented indetail, and two chapters are devoted to applications in clinicaltrials. Bandits problems are also given a thorough treatment alongwith sequential detection of change-points, sequential applicationsin industrial statistics, and software reliability. S-Plus functions are available to accompany particularcomputations, and all examples can be worked out using R, which isavailable on the book's related FTP site. In addition, a detailedappendix outlines the use of these software functions, while anextensive bibliography directs readers to further research on thesubject matter. Assuming only a basic background in statistical topics,Stage-Wise Adaptive Designs is an excellent supplement tostatistics courses at the upper-undergraduate and graduate levels.It also serves as a valuable reference for researchers andpractitioners in the fields of statistics and biostatistics.

Rezensionen

(Mathematical Reviews, 2011)
"Covering a broad range of material, this book may serve well as areference source for adaptive approaches in the design ofexperiments."
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Schlagwörter

Versuchsplanung, Experimental Design, Biostatistics, Statistik, Statistics, Biostatistik, Clinical Trials, Klinische Studien