Sequential Methods and Their Applications

Nitis Mukhopadhyay (u. a.)

ISBN 10: 0367386534 / ISBN 13: 9780367386535

Published by Chapman and Hall/CRC, 2019

About this Item

Sequential Methods and Their Applications | Nitis Mukhopadhyay (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2019 | Chapman and Hall/CRC | EAN 9780367386535 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 128405958

Bibliographic Details

• Title: Sequential Methods and Their Applications
• Publisher: Chapman and Hall/CRC
• Publication Date: 2019
• Language: English
• ISBN 10: 0367386534
• ISBN 13: 9780367386535
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 156H x 27D millimeters 234 millimeters width by 156 millimeters height by 27 millimeters depth
• Weight: 769 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

Mukhopadhyay, Nitis; de Silva, Basil M.