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On nonparametric maximum likelihood estimation of a distribution uniformly stochastically smaller than a standard

โœ Scribed by Javier Rojo; Francisco J. Samaniego


Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
356 KB
Volume
11
Category
Article
ISSN
0167-7152

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Iterative numerical methods are necessary t o find the maximum likelihood estimates for finite mixture distributions. This paper shows that it will often be possible to analytitally reduce the number of equations that must ultimately be solved numerically. Such a reduction in dimensionality has not