Zhu, Qiang and Xiao, Zhihong and Qin, Guanglian and Ying, Fang (2011) Iterated Logarithm Laws on GLM Randomly Censored with Random Regressors and Incomplete Information. Applied Mathematics, 02 (03). pp. 363-368. ISSN 2152-7385
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Official URL: https://doi.org/10.4236/am.2011.23043
Abstract
In this paper, we define the generalized linear models (GLM) based on the observed data with incomplete information and random censorship under the case that the regressors are stochastic. Under the given conditions, we obtain a law of iterated logarithm and a Chung type law of iterated logarithm for the maximum likelihood estimator (MLE) in the present model.
| Item Type: | Article |
|---|---|
| Subjects: | STM Library > Mathematical Science |
| Depositing User: | Managing Editor |
| Date Deposited: | 06 Jun 2023 06:06 |
| Last Modified: | 05 Dec 2023 04:04 |
| URI: | http://open.journal4submit.com/id/eprint/2208 |
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