Applied Sequential Methodologies : Real-World Examples with Data Analysis

Nitis Mukhopadhyay

ISBN 10: 082475395X / ISBN 13: 9780824753955

Published by Taylor & Francis Inc Jan 2004, 2004

About this Item

Neuware - Applied Sequential Methodologies offers a technically precise yet clear presentation of modern sequential methodologies having immediate applicability to practical problems in the real world. It brings crucial sequential approached up to speed with recent theoretical gains and demonstrates their utility in solving real-life problems associated with change-point detection in multichannel and distributed systems, best-component selection for multivariate distributions, and multistate processes. The chapters contributed by international authorities contain valuable methods for data mining, agriculture science, genetics, computer simulation, finance, clinical trials, and more.

Seller Inventory # 9780824753955

Bibliographic Details

• Title: Applied Sequential Methodologies : Real-World Examples with Data Analysis
• Publisher: Taylor & Francis Inc Jan 2004
• Publication Date: 2004
• Language: English
• ISBN 10: 082475395X
• ISBN 13: 9780824753955
• Binding: Buch
• Condition: Neu
• Dimensions: 229W x 152H x 0D millimeters 229 millimeters width by 152 millimeters height by 0 millimeters depth
• Weight: 794 grams

About this title

Synopsis

A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communicates invaluable techniques for data mining, agricultural science, genetics, computer simulation, finance, clinical trials, sonar signal detection, randomization, multiple comparisons, psychology, tracking, surveillance, and numerous additional areas of application.

Includes more than 500 references, 165 figures and tables, and over 25 pages of subject and author indexes.

Applied Sequential Methodologies brings the crucial nature of sequential approaches up to speed with recent theoretical gains, demonstrating their utility for solving real-life problems associated with

Change-point detection in multichannel and distributed systems

Best component selection for multivariate distributions

Multistate processes

Approximations for moving sums of discrete random variables

Interim and terminal analyses of clinical trials

Adaptive designs for longitudinal clinical trials

Slope estimation in measurement-error models

Tests for randomization and target tracking

Appropriate count of simulation runs

Stock price models

Orders of genes

Size and power control in multiple comparisons

Authored by 33 leading scientists, this volume will greatly benefit sequential analysts, data analysts, applied statisticians, biometricians, clinical trialists, and upper-level undergraduate and graduate students in these disciplines.

About the Author

Nitis Mukhopadhyay, Sujay Datta, Saibal Chattopadhyay