Empirical likelihood inference under stratified random sampling using auxiliary population information

被引：41
|
作者：
Zhong, B
Rao, JNK
机构：
[1] Abbott Labs, Dept 07B2, Abbott Pk, IL 60064 USA
[2] Carleton Univ, Sch Math & Stat, Ottawa, ON K1S 5B6, Canada
来源：
BIOMETRIKA | 2000年 / 87卷 / 04期
基金：
加拿大自然科学与工程研究理事会;
关键词：
distribution function; jackknife; likelihood ratio; linear regression estimator;
D O I：
10.1093/biomet/87.4.929
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The empirical likelihood method under stratified random sampling is used for making inferences on finite population parameters. Our results show that it can lead to efficient estimators by making effective use of auxiliary population information in the form of overall population totals or means ascertained from external sources. Empirical likelihood ratio confidence intervals for the population mean are also studied, and adjusted intervals with asymptotically correct coverage rates are obtained.
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页码：929 / 938
页数：10
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