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Rate of strong consistency of quasi maximum likelihood estimate in generalized linear models 被引量:25
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作者 YUE Li & CHEN Xiru School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China Graduate School, Chinese Academy of Sciences, Beijing 100039, China 《Science China Mathematics》 SCIE 2004年第6期882-893,共12页
Under the assumption that in the generalized linear model (GLM) the expectation of the response variable has a correct specification and some other smooth conditions, it is shown that with probability one the quasi-li... Under the assumption that in the generalized linear model (GLM) the expectation of the response variable has a correct specification and some other smooth conditions, it is shown that with probability one the quasi-likelihood equation for the GLM has a solution when the sample size n is sufficiently large. The rate of this solution tending to the true value is determined. In an important special case, this rate is the same as specified in the LIL for iid partial sums and thus cannot be improved anymore. 展开更多
关键词 quasi-likelihood function generalized linear models strong consistency
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