Stage-Wise Adaptive Designs
Aus der Reihe
Wiley Series in Probability and Statistics
134,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
11.05.2009
Verlag
John Wiley & SonsSeitenzahl
352 (Printausgabe)
Dateigröße
13606 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470466940
An expert introduction to stage-wise adaptive designs in all
areas of statistics
Stage-Wise Adaptive Designs presents the theory and
methodology of stage-wise adaptive design across various areas of
study within the field of statistics, from sampling surveys and
time series analysis to generalized linear models and decision
theory. Providing the necessary background material along with
illustrative S-PLUS functions, this book serves as a valuable
introduction to the problems of adaptive designs.
The author begins with a cohesive introduction to the subject
and goes on to concentrate on generalized linear models, followed
by stage-wise sampling procedures in sampling surveys. Adaptive
forecasting in the area of time series analysis is presented in
detail, and two chapters are devoted to applications in clinical
trials. Bandits problems are also given a thorough treatment along
with sequential detection of change-points, sequential applications
in industrial statistics, and software reliability.
S-Plus functions are available to accompany particular
computations, and all examples can be worked out using R, which is
available on the book's related FTP site. In addition, a detailed
appendix outlines the use of these software functions, while an
extensive bibliography directs readers to further research on the
subject matter.
Assuming only a basic background in statistical topics,
Stage-Wise Adaptive Designs is an excellent supplement to
statistics courses at the upper-undergraduate and graduate levels.
It also serves as a valuable reference for researchers and
practitioners in the fields of statistics and biostatistics.
areas of statistics
Stage-Wise Adaptive Designs presents the theory and
methodology of stage-wise adaptive design across various areas of
study within the field of statistics, from sampling surveys and
time series analysis to generalized linear models and decision
theory. Providing the necessary background material along with
illustrative S-PLUS functions, this book serves as a valuable
introduction to the problems of adaptive designs.
The author begins with a cohesive introduction to the subject
and goes on to concentrate on generalized linear models, followed
by stage-wise sampling procedures in sampling surveys. Adaptive
forecasting in the area of time series analysis is presented in
detail, and two chapters are devoted to applications in clinical
trials. Bandits problems are also given a thorough treatment along
with sequential detection of change-points, sequential applications
in industrial statistics, and software reliability.
S-Plus functions are available to accompany particular
computations, and all examples can be worked out using R, which is
available on the book's related FTP site. In addition, a detailed
appendix outlines the use of these software functions, while an
extensive bibliography directs readers to further research on the
subject matter.
Assuming only a basic background in statistical topics,
Stage-Wise Adaptive Designs is an excellent supplement to
statistics courses at the upper-undergraduate and graduate levels.
It also serves as a valuable reference for researchers and
practitioners in the fields of statistics and biostatistics.
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