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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.
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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