Efficient Inference on Quadratic Finite Population Function for Complex Surveys

机译：复杂调查的二次有限人口函数的有效推论

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In this paper, our primary aim is to use a model-calibrated pseudo-empirical likelihood method for efficient inference on quadratic finite population when complete auxiliary information is available. We show that the model-calibrated pseudo-empirical likelihood estimator is asymptotically equivalent to the Hajek estimator, and formulate an alternative pseudo-empirical log-likelihood that allows for a simple adjustment for the design-effect. The asymptotic properties of pseudo-empirical log-likelihood ratio function are also established.

机译：在本文中，我们的主要目标是使用模型校准的伪经验似然方法，以在可获得完整辅助信息时有效地推断二次有限总体。我们证明了模型校准的伪经验似然估计在渐近上等同于Hajek估计，并制定了一个替代的伪经验对数似然性，允许对设计效果进行简单的调整。还建立了伪经验对数似然比函数的渐近性质。

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《2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会）论文集》|2009年|1-6|共6页
会议地点 Qingdao(CN)
作者
WU Changchun; LIU Weixia;
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College of Mathematics and Information Engineering Jiaxing University P.R.China 314001;

Editorial Department of Journal of Jiaxing University P.R.China 314001;

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Model-calibration; Estimators and Confidence Intervals; Complete Auxiliary Information; Quadratic Finite Population Function;

机译：模型校准；估计量和置信区间；完整的辅助信息；二次有限人口函数;

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Efficient Inference on Quadratic Finite Population Function for Complex Surveys

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