Efficient Inference on Quadratic Finite Population Function for Complez Surveys

摘要：

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.

关键词： Model-calibration Estimators and Confidence Intervals Complete Auziliary Information Quadratic Finite Population Function

作者: WU Changchun LIU Weixia

作者单位: College of Mathematics and Information Engineering, Jiaxing University, P.R.China, 314001 Editorial Department of Journal of Jiaxing University, P.R.China, 314001

会议类型: 国际会议

会议名称: 2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)

会议地点: 青岛

会议语种:英文

页码: 1-6

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）