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
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.
Table of Contents
Passive Acoustic Detection of Marine Mammals Using Page's Test. Two-Stage Procedures for Selecting the Best Component of a Multivariate Distribution. Sequential Randomization Tests. Sequential Methods for Multistate Processes. Sequential Adaptive Designs for Clinical Trials with Longitudinal Responses. Sequential Approaches to Data Mining. Approximations and Bounds for Moving Sums of Discrete Random Variables. Estimation of the Slope in a Measurement-Error Model. Kernel Density Estimation of Wool Fiber Diameter. Financial Applications of Sequential Nonparametric Curve Estimation.
Nitis Mukhopadhyay, Sujay Datta, Saibal Chattopadhyay