文章基本信息

标题：On the Semiparametric Efficiency of the Scott-Wild Estimator under Choice-Based and Two-Phase Sampling
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作者：Alan Lee
期刊名称：Advances in Decision Sciences
印刷版ISSN：2090-3359
电子版ISSN：2090-3367
出版年度：2007
卷号：2007
DOI：10.1155/2007/86180
出版社：Hindawi Publishing Corporation
摘要：Using a projection approach, we obtain an asymptotic information bound for estimates of parameters in general regression models under choice-based and two-phase outcome-dependent sampling. The asymptotic variances of the semiparametric estimates of Scott and Wild (1997, 2001) are compared to these bounds and the estimates are found to be fully efficient.