Linked Data Explorerhttp://worldcat.org/entity/work/id/46885014
Maximum likelihood estimation: a practical theorem on consistency of the nonparametric maximum likelihood estimates with applications
Sufficient conditions for consistency of a nonparametric maximum likelihood estimate are given which are applicable to those problems where a class of distribution functions is specified only in terms of its graphs. Consistency is proven and applications are given. (Author).
Open All Close All
http://schema.org/about
- http://experiment.worldcat.org/entity/work/data/46885014#Topic/random_variables
- http://experiment.worldcat.org/entity/work/data/46885014#Topic/graphics
- http://experiment.worldcat.org/entity/work/data/46885014#Topic/statistics_and_probability
- http://experiment.worldcat.org/entity/work/data/46885014#Topic/probability
- http://id.worldcat.org/fast/915531
- http://id.worldcat.org/fast/1038853
- http://experiment.worldcat.org/entity/work/data/46885014#Topic/statistical_analysis
- http://id.loc.gov/authorities/subjects/sh85044957
- http://experiment.worldcat.org/entity/work/data/46885014#Topic/distribution_functions
- http://id.loc.gov/authorities/subjects/sh85092349
- http://experiment.worldcat.org/entity/work/data/46885014#Topic/theorems
http://schema.org/description
- "Sufficient conditions for consistency of a nonparametric maximum likelihood estimate are given which are applicable to those problems where a class of distribution functions is specified only in terms of its graphs. Consistency is proven and applications are given. (Author)."@en