Abstract
Identifiability, existence and uniqueness of the non-parametric maximum likelihood estimator (NPMLE) in biased sampling models are thoroughly investigated. The conditions for existence and uniqueness are considered from a different perspective and proofs are simplified. An extension to semi-parametric models is provided.
Original language | English |
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Pages (from-to) | 176-183 |
Number of pages | 8 |
Journal | Journal of Statistical Planning and Inference |
Volume | 139 |
Issue number | 2 |
DOIs | |
State | Published - 1 Feb 2009 |
Keywords
- Biased sampling
- Non-parametric maximum likelihood
- Semi-parametric models
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics