ESTIMATION OF A FINITE POPULATION MEAN UNDER SUPERPOPULATION MODELS

被引:2
作者
ARNAB, R [1 ]
机构
[1] NATL UNIV LESOTHO,DEPT STAT,ROMA,LESOTHO
关键词
FINITE POPULATION; INCLUSION PROBABILITY; NONINFORMATIVE SAMPLING DESIGN; OPTIMAL ESTIMATOR; SAMPLING DESIGN; SAMPLING STRATEGY; SUPERPOPULATION MODEL;
D O I
10.1080/03610929208830874
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Optimal sampling strategies which minimize the expected mean square error for a linear unbiased estimator,model and model-design unbiased estimators for expected finite population mean,are obtained under a correlated superpopulation model. This is found, when the parent infinite superpopulation assumed to be distributed as a multivariate normal distribution, the Pearsonian kurtosis coefficient of the sample mean based on distinct units, defined by Koop (1986) is always greater than three, unless the sample is based on a fixed effective sample size design.
引用
收藏
页码:1717 / 1724
页数:8
相关论文
共 2 条
[1]  
CASSEL CM, 1976, BIOMETRIKA, V63, P615, DOI 10.2307/2335742
[2]  
KOOP JC, 1986, STATISTICS, V17, P237