Memory Type Ratio and Product Estimators in Stratified Sampling

被引：13

作者：

Aslam, Irfan ^{[1
]}

Noor-ul-Amin, Muhammad ^{[2
]}

Yasmeen, Uzma ^{[3
]}

Hanif, Muhammad ^{[1
]}

机构：

[1] Natl Coll Business Adm & Econ, Lahore, Pakistan

[2] COMSATS Univ Islamabad, Lahore Campus, Islamabad, Pakistan

[3] Univ Lahore, Lahore, Pakistan

来源：

JOURNAL OF RELIABILITY AND STATISTICAL STUDIES | 2020年 / 13卷 / 01期

关键词：

Stratified sampling; memory type; EWMA; ratio estimator; product estimator; 2 AUXILIARY VARIABLES;

D O I：

10.13052/jrss0974-8024.1311

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：

The exponential weighted moving average (EWMA) statistic is utilized the past information along with the present to enhance the efficiency of the estimators of the population parameters. In this study, the EWMA statistic is used to estimate the population mean with auxiliary information. The memory type ratio and product estimators are proposed under stratified sampling (StS). Mean square errors (MSE) expressions and relative efficiencies of the proposed estimators are derived. An extensive simulation study is conducted to evaluate the performance of the proposed estimators. An empirical study is presented based on real-life data that supports the findings of the simulation study.

引用

页码：1 / 19

页数：19

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