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Abstract：
A local quasi-likelihood estimator for generalized semi-parametric models when the responses are missing at random is proposed. It is shown that the asymptotic biases are the same as when no data are missing, while the variances are generally different. Furthermore, we demonstrate that the estimator has asymptotically normal properties.
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Journal of Beijing University of Chemical Technology (Natural Science Edition)
ISSN： 1671-4628
Year： 2006
Issue： 4
Volume： 33
Page： 109-112
Cited Count：
WoS CC Cited Count： 0
SCOPUS Cited Count： 20
ESI Highly Cited Papers on the List： 0 Unfold All
WanFang Cited Count：
Chinese Cited Count：
30 Days PV： 1
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