Applied Sequential Methodologies: Real-World Examples with Data Analysis

ISBN-13: 9780367394561 / Angielski / Miękka / 2019 / 418 str.

Nitis Mukhopadhyay; Sujay Datta; Saibal Chattopadhyay

Opis

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 approaches 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.

Spis treści

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.

O autorze

Nitis Mukhopadhyay, Sujay Datta, Saibal Chattopadhyay