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

Printed Book
SR 410
Inclusive of VAT
Sold as: EACH
SR24Per Month/24 months
Author:Mukhopadhyay, Nitis
Date of Publication: 2019
Book classification:Science & Mathematics,English Books,Arabic Books,
No. of pages:500 Pages
Format:Paperback

This book is printed on demand and is non-refundable after purchase

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About this Product

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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    Specifications

    SKU9780367394561
    Manufacturer Number9780367394561
    year published2019
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