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首页> 外文期刊>Chinese Annals of Mathematics. Series B >ASYMPTOTIC NORMALITY OF QUASI MAXIMUM LIKELIHOOD ESTIMATE IN GENERALIZED LINEAR MODELS
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ASYMPTOTIC NORMALITY OF QUASI MAXIMUM LIKELIHOOD ESTIMATE IN GENERALIZED LINEAR MODELS

机译:广义线性模型中拟最大似然估计的渐近正态性

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摘要

For the Generalized Linear Model (GLM), under some conditions including that the specification of the expectation is correct, it is shown that the Quasi Maximum Likelihood Estimate (QMLE) of the parameter-vector is asymptotic normal. It is also shown that the asymptotic covariance matrix of the QMLE reaches its minimum (in the positive-definte sense) in case that the specification of the covariance matrix is correct.
机译:对于广义线性模型(GLM),在某些条件下,包括期望的规范正确,证明了参数向量的拟最大似然估计(QMLE)是渐近正态的。还表明,在协方差矩阵的规范正确的情况下,QMLE的渐近协方差矩阵达到最小值(在正定义意义上)。

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