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
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Nitis Mukhopadhyay, Sujay Datta, Saibal Chattopadhyay
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.
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