Sequential methods and their applications
Author(s)
Bibliographic Information
Sequential methods and their applications
CRC Press, c2009
Available at 5 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references (p. [455]-478) and index
Description and Table of Contents
Description
Interactively Run Simulations and Experiment with Real or Simulated Data to Make Sequential Analysis Come Alive
Taking an accessible, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with contemporary statistical challenges in many areas.
The book first explores fixed sample size, sequential probability ratio, and nonparametric tests. It then presents numerous multistage estimation methods for fixed-width confidence interval as well as minimum and bounded risk problems. The book also describes multistage fixed-size confidence region methodologies, selection methodologies, and Bayesian estimation. Through diverse applications, each chapter provides valuable approaches for performing statistical experiments and facilitating real data analysis.
Functional in a variety of statistical problems, the authors' interactive computer programs show how the methodologies discussed can be implemented in data analysis. Each chapter offers examples of input, output, and their interpretations. Available online, the programs provide the option to save some parts of an output so readers can revisit computer-generated data for further examination with exploratory data analysis.
Through this book and its computer programs, readers will better understand the methods of sequential analysis and be able to use them in real-world settings.
Table of Contents
Preface. Objectives, Coverage, and Hopes. Why Sequential? Sequential Probability Ratio Test. Sequential Tests for Composite Hypotheses. Sequential Nonparametric Tests. Estimation of the Mean of a Normal Population. Location Estimation: Negative Exponential Distribution. Point Estimation of the Mean of an Exponential Population. Fixed-Width Intervals from MLEs. Distribution-Free Methods in Estimation. Multivariate Normal Mean Vector Estimation. Estimation in a Linear Model. Estimating the Difference of Two Normal Means. Selecting the Best Normal Population. Sequential Bayesian Estimation. Selected Applications. Appendix. References. Index.
by "Nielsen BookData"