Bibliographic Information

The EM algorithm and extensions

Geoffrey J. McLachlan, Thriyambakam Krishnan

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

John Wiley, c1997

Available at  / 79 libraries

Search this Book/Journal

Note

"A Wiley-Interscience publication."

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

Description and Table of Contents

Description

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.

Table of Contents

  • 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.

by "Nielsen BookData"

Related Books: 1-1 of 1

Details

Page Top