| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1149711 | Journal of Statistical Planning and Inference | 2009 | 8 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ori Davidov, George Iliopoulos,