Maximum likelihood estimation in a partially observed stratified regression model with censored data
✍ Scribed by Amélie Detais; Jean-François Dupuy
- Publisher
- Springer Japan
- Year
- 2010
- Tongue
- English
- Weight
- 282 KB
- Volume
- 63
- Category
- Article
- ISSN
- 0020-3157
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
In this paper we derive general formulae for second-order biases of maximum-likelihood estimates in a class of symmetric nonlinear regression models. This class of models is commonly used for the analysis of data containing extreme or outlying observations in samples from a supposedly normal distrib
We consider the problem of estimating the quantiles of a distribution function in a fixed design regression model in which the observations are subject to random right censoring. The quantile estimator is defined via a conditional Kaplan-Meier type estimator for the distribution at a given design po