Calibrated Edgeworth expansions of finite population L-statistics

被引:2
|
作者
Ciginas, Andrius [1 ]
Pumputis, Dalius [2 ]
机构
[1] Vilnius Univ, Stat & Probabil Grp, Vilnius, Lithuania
[2] Vilnius Gediminas Tech Univ, Dept Math Stat, Vilnius, Lithuania
关键词
Empirical Edgeworth expansion; auxiliary information; synthetic estimation; ratio estimator; bootstrap; jackknife;
D O I
10.1080/08898480.2018.1553408
中图分类号
C921 [人口统计学];
学科分类号
摘要
A short Edgeworth expansion is approximated for the distribution function of a Studentized linear combination of order statistics computed on a random sample drawn without replacement from a finite population, and using auxiliary data available for the population units. Simulations show an improvement over the usual Gaussian approximation and previous empirical Edgeworth expansions. Naive synthetic estimates of the distribution function, based on the auxiliary data only, yield accurate results when the auxiliary variable is well correlated with the study variable.
引用
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页码:59 / 80
页数:22
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