Applied Sequential Methodologies: Real-World Examples with Data Analysis
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.

  • 1133263952
    Applied Sequential Methodologies: Real-World Examples with Data Analysis
    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.

  • 84.99 Out Of Stock
    Applied Sequential Methodologies: Real-World Examples with Data Analysis

    Applied Sequential Methodologies: Real-World Examples with Data Analysis

    Applied Sequential Methodologies: Real-World Examples with Data Analysis

    Applied Sequential Methodologies: Real-World Examples with Data Analysis

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    Overview

    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.


  • Product Details

    ISBN-13: 9780367394561
    Publisher: Taylor & Francis
    Publication date: 09/05/2019
    Series: Statistics: A Textbooks and Monographs
    Pages: 500
    Product dimensions: 6.00(w) x 9.00(h) x (d)

    About the Author

    Nitis Mukhopadhyay, Sujay Datta, Saibal Chattopadhyay

    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.

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