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Applied Sequential Methodologies: Real-World Examples with Data Analysis (Statistics: A Textbooks and Monographs) - Softcover

Book 18 of 88: Statistics: A Series of Textbooks and Monographs
 
9780367394561: Applied Sequential Methodologies: Real-World Examples with Data Analysis (Statistics: A Textbooks and Monographs)

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.

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    About the Author

    Nitis Mukhopadhyay, Sujay Datta, Saibal Chattopadhyay

    From the Back Cover

    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.

    "About this title" may belong to another edition of this title.