Algorithms for Computing Self-Consistent and Maximum Likelihood Estimators with Doubly Censored Data
The paper investigates the structure of the self-consistent estimators (SCE) and the nonparametric maximum likelihood estimator (NPMLE) for doubly censored data. An explicit sufficient and necessary ...
This is a preview. Log in through your library . Abstract A maximum-penalized-likelihood method is proposed for estimating a mixing distribution and it is shown that this method produces a consistent ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback