OPTIMUM SEPARATE RATIO-TYPE EXPONENTIAL ESTIMATOR FOR COMPUTATION OF POPULATION MEAN IN STRATIFIED RANDOM SAMPLING

被引：0
|
作者：
Rather, Khalid Ul Islam [1 ]
Jeelani, M. Iqbal [1 ]
Tabassum, Afshan [1 ]
机构：
[1] Sher E Kashmir Univ Agr Sci & Technol Jammu, Fac Basic Sci, Div Stat & Comp Sci, Jammu 180009, Jammu & Kashmir, India
来源：
JOURNAL OF SCIENCE AND ARTS | 2022年 / 02期
关键词：
finite population mean; stratified random sampling; exponential estimator; auxiliary variable; mean squared error; percent relative efficiency;
D O I：
10.46939/J.Sci.Arts-22.2-a07
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this manuscript, we study the problem of separate type exponential ratio estimator for estimation of population mean with their properties. The MSE and Bias up to the first degree of approximation for the suggested estimator are computed. The suggested estimator is proven to be more efficient than estimators mentioned in the literature under stratified random technique. An empirical investigation was done to assess the suggested estimator. Also, the percent relative efficiency is to be remarkable for the proposed estimator.
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页码：331 / 342
页数：12
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