混合型广义线性模型的m估计

IF 0.4 4区 数学 Q4 STATISTICS & PROBABILITY Probability and Mathematical Statistics-Poland Pub Date : 2018-07-30 DOI:10.19195/0208-4147.38.1.11
Ying Dong, Lixin Song, Mingqiu Wang, Muhammad Amin
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引用次数: 0

摘要

为了从混合型模型中考察个体的特征,本文首次提出了一种新的模型——混合型广义线性模型,并验证了该模型的实用性。我们考虑m估计的鲁棒性来估计混合型广义线性模型的未知参数。利用大数定律和中心极限定理,在正则性假设下证明了混合型广义线性模型的m估计的相合性和渐近正态性。最后,为了评价该估计器对新模型的有限样本性能,给出了几个应用实例,表明了该估计器的良好性能。
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M-estimation of the mixed-type generalized linear model
To investigate the features of the individual from the mixedtype model, a novel model, named the mixed-type generalized linear model, is proposed firstly in this work, which is verified to be realistic and useful. We consider the robustness of M-estimation to estimate the unknown parameters of the mixed-type generalized linear model. By applying the law of large numbers and the central limit theorem, the consistency and asymptotic normality of the M-estimation for the mixed-type generalized linear model are proved with regularity assumptions. At last, in order to evaluate the finite sample performance of the estimator for the new model, several applied instances are presented, which show the good performance of the estimator.
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来源期刊
CiteScore
0.70
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0.00%
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0
审稿时长
>12 weeks
期刊介绍: PROBABILITY AND MATHEMATICAL STATISTICS is published by the Kazimierz Urbanik Center for Probability and Mathematical Statistics, and is sponsored jointly by the Faculty of Mathematics and Computer Science of University of Wrocław and the Faculty of Pure and Applied Mathematics of Wrocław University of Science and Technology. The purpose of the journal is to publish original contributions to the theory of probability and mathematical statistics.
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