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The EM algorithm and extensions

By: Contributor(s): Material type: TextTextSeries: Wiley series in probability and statisticsPublication details: New York John Wiley & Sons, Inc.Description: xvii, 274 pISBN:
  • 9780471123583
Subject(s): DDC classification:
  • 519.544
Summary: It describes the formulation of EM algorithm, details of methodology and its implementation and illustrates applications in many statistical contex. Authors have examined the applications both in evidently incomplete data situations where data are missing, distributions are truncated, or observations are censored and in a broad variety of situations in which incompleteness is neither natural nor evident. They point out the algorithm's shortcomings and explains how these are addressed in the various extensions.Areas of application discussed include Regression, Categorical data analysis, Factor analysis, Repeated-measured designs, Medical imaging, Finite mixture analysis, Robust statistical modeling, Survival analysis etc.
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Item type Current library Item location Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 33-A / Slot 1678 (2nd Floor, East Wing) General Stacks 519.544 M2E6 (Browse shelf(Opens below)) Available 159556

It describes the formulation of EM algorithm, details of methodology and its implementation and illustrates applications in many statistical contex. Authors have examined the applications both in evidently incomplete data situations where data are missing, distributions are truncated, or observations are censored and in a broad variety of situations in which incompleteness is neither natural nor evident. They point out the algorithm's shortcomings and explains how these are addressed in the various extensions.Areas of application discussed include Regression, Categorical data analysis, Factor analysis, Repeated-measured designs, Medical imaging, Finite mixture analysis, Robust statistical modeling, Survival analysis etc.

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