| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1155190 | Statistics & Probability Letters | 2008 | 7 Pages |
Abstract
We consider data subjected to middle censoring where the variable of interest becomes unobservable when it falls within an interval of censorship. A necessary and sufficient condition is developed for the equivalence of self-consistent estimators and NPMLEs. Finding NPMLE by dividing the data into simpler subsets is considered.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Vasudevan Mangalam, Gopalan M. Nair, Yun Zhao,