EXPONENTIAL-TYPE CALIBRATION ESTIMATORS OF FINITE POPULATION MEAN IN STRATIFIED SAMPLING

被引：0
|
作者：
Pachori, Menakshi [1 ]
Garg, Neha [1 ]
Sangal, Prabhat Kumar [1 ]
Rajesh [1 ]
机构：
[1] Indira Gandhi Natl Open Univ, Sch Sci, New Delhi 110068, India
来源：
INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2022年 / 18卷 / 01期
关键词：
Auxiliary information; Calibration estimation; Stratified random sampling; Exponential type estimator;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
This paper considers exponential ratio-type calibration estimators for finite population mean using median of the auxiliary variable in the calibration constraint under stratified random sampling. For judging the performance of the proposed estimators, a simulation study has been carried out on real as well as artificial datasets using R-software and their percentage root mean squared errors have been computed. The suggested estimators have been compared with the estimators given by Singh (2003) and Tracy et al. (2003).
引用
收藏
页码：431 / 436
页数：6
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