Limit this search to....

Applied Sequential Methodologies: Real-World Examples with Data Analysis
Contributor(s): Mukhopadhyay, Nitis (Editor), Datta, Sujay (Editor), Chattopadhyay, Saibal (Editor)
ISBN: 0367394561     ISBN-13: 9780367394561
Publisher: CRC Press
OUR PRICE:   $78.84  
Product Type: Paperback - Other Formats
Published: September 2019
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
Dewey: 519.54
Series: Statistics: A Textbooks and Monographs
Physical Information: 1.1" H x 5.9" W x 8.9" (2.10 lbs) 418 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.