| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1153799 | Statistics & Probability Letters | 2009 | 8 Pages |
Abstract
In this paper, we define the generalized linear model (GLM) based on the observed data with incomplete information in the case of random censorship, and obtain a law of iterated logarithm and a Chung type law of iterated logarithm for the maximum likelihood estimator (MLE) βËn in this model.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Zhihong Xiao, Luqin Liu,