書誌事項

The EM algorithm and extensions

Geoffrey J. McLachlan, Thriyambakam Krishnan

(Wiley series in probability and mathematical statistics, . Applied probability and statistics)

John Wiley, c1997

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注記

"A Wiley-Interscience publication."

Includes bibliographical references (p. 243-260) and indexes

内容説明・目次

内容説明

This book presents an organized and well-knit account of the theory, methodology, extensions, and major applications of the Expectation-Maximization (EM) algorithm. It includes applications in the standard statistical contexts such as regression, factor analysis, variance components estimation, repeated-measures designs, categorical data analysis, survival analysis and survey sampling.

目次

  • Examples of the EM Algorithm
  • Basic Theory of the EM Algorithm
  • Standard Errors and Speeding Up Convergence
  • Extensions of the EM Algorithm
  • Miscellaneous Topics
  • References
  • Indexes.

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