ON OPTIMAL TREND FREE SAMPLING DESIGNS

被引：1
|
作者：
SENGUPTA, S
MUKERJEE, R
机构：
[1] UNIV CALCUTTA,DEPT STAT,CALCUTTA 700019,W BENGAL,INDIA
[2] INDIAN INST MANAGEMENT,CALCUTTA 700027,W BENGAL,INDIA
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1991年 / 20卷 / 01期
关键词：
DESIGN-UNBIASED STRATEGY; DIFFERENCE ESTIMATOR; FINITE POPULATION; FIXED SIZE SAMPLING DESIGN; LINEAR TREND; REGRESSION ESTIMATOR; SAMPLE MEAN; SUPER-POPULATION MODEL;
D O I：
10.1080/03610929108830498
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：
This paper considers the problem of estimating a finite population mean in the presence of linear trend. Recently, Mukerjee and Sengupta (1990) have studied the existence of an optimal design-unbiased strategy under this set-up and have suggested optimal sampling designs whenever such optimal strategies exist. In this paper, we consider cases when such optimal strategies do not exist and suggest some sampling designs which are optimal within some classes of sampling designs for the use of sample mean, difference and regression estimators.
引用
收藏
页码：299 / 307
页数：9
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