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Applied Sequential Methodologies

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adaptive experimental design
advanced sequential analysis applications
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ASN
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B01=Nitis Mukhopadhyay
B01=Saibal Chattopadhyay
B01=Sujay Datta
Capital Asset Price Model
Category1=Non-Fiction
Category=PBT
Change Point Detection
clinical trial methodology
confidence
COP=United Kingdom
data mining techniques
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eq_isMigrated=2
eq_nobargain
Estimated Change Points
Fixed Width Confidence Interval
FWE
Group Sequential Test
Hochberg's Method
hypothesis
Interim Analysis
interval
Language_English
multivariate analysis
MVE Distribution
Negative Binomial
Negative Binomial Distribution
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Price_€50 to €100
probability
Probability Coverage
procedures
PS=Active
ratio
RPW Rule
Safety Monitoring Board
sample
Sample Size Functions
Sequential Estimation Procedures
Sequential Probability Ratio Test
Shiryaev Roberts Statistic
Simultaneous Probability Coverage
size
Smooth Bootstrap
softlaunch
Sonar Signal Processing
statistical decision theory
Stopping Rule
surveillance signal detection
test
Wool Fiber Diameter

Product details

  • ISBN 9780367394561
  • Weight: 453g
  • Dimensions: 152 x 229mm
  • Publication Date: 05 Sep 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
  • Language: English
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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.

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    About
    Nitis Mukhopadhyay, Sujay Datta, Saibal Chattopadhyay