Algorithm AS 254: maximum likelihood estimation from grouped and truncated data with finite normal mixture models

Jones, P. N. and McLachlan, G. J. (1990) Algorithm AS 254: maximum likelihood estimation from grouped and truncated data with finite normal mixture models. Applied Statistics - Journal of the Royal Statistical Society Series C, 39 2: 273-282. doi:10.2307/2347776


Author Jones, P. N.
McLachlan, G. J.
Title Algorithm AS 254: maximum likelihood estimation from grouped and truncated data with finite normal mixture models
Journal name Applied Statistics - Journal of the Royal Statistical Society Series C   Check publisher's open access policy
ISSN 0035-9254
1467-9876
Publication date 1990
Sub-type Article (original research)
DOI 10.2307/2347776
Volume 39
Issue 2
Start page 273
End page 282
Total pages 10
Place of publication Chichester, West Sussex, United Kingdom
Publisher Wiley-Blackwell Publishing
Language eng
Keyword EM algorithm
Finite normal mixture distributions
Grouped data
Truncation points
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mathematics and Physics
 
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