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A simple and fast alternative to the EM algorithm for incomplete categorical data and latent class models

  • Published:2001-01 Issue:3 Volume:35 Page:265-281
  • ISSN:0167-9473
  • Container-title:Computational Statistics & Data Analysis
  • language:en
  • Short-container-title:Computational Statistics & Data Analysis

Author:

Galecki Andrzej T.,Have Thomas R.Ten,Molenberghs Geert

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference25 articles.

1. Composite linear models for incomplete multinomial data;Baker;Statist. Med.,1994

2. Marginal modeling of categorical data from cross-over experiments;Balagtas;Appl. Statist.,1995

3. Approximate inference in generalized linear models;Breslow;J. Amer. Statist. Assoc.,1993

4. Global cross-ratio models for discrete ordered responses;Dale;Biometrics,1986

5. Maximum likelihood from incomplete data via the EM algorithm (with discussion);Dempster;J. Roy. Statist. Soc. Ser. B,1977

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