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On constrained maximum likelihood estimation with non-i.i.d. observations

โœ Scribed by Martin Crowder


Book ID
118292540
Publisher
Springer Japan
Year
1984
Tongue
English
Weight
599 KB
Volume
36
Category
Article
ISSN
0020-3157

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On non-parametric maximum likelihood est
โœ Ross L. Prentice ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 171 KB ๐Ÿ‘ 2 views

The likelihood function for the bivariate survivor function F, under independent censorship, is maximized to obtain a non-parametric maximum likelihood estimator F K . F K may or may not be unique depending on the con"guration of singly-and doubly-censored pairs. The likelihood function can be maxim