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Research Article Open access CC BY 4.0

Some Median Type Estimators to Estimate the Finite Population Mean

Waqar Hafeez, Javid Shabbir, Muhammad Taqi Shah, Shakeel Ahmed

Asian Journal of Probability and Statistics · pp. 48–58 · Published 11 Jul 2020

10.9734/ajpas/2020/v7i430192

Abstract

Researchers always appreciates estimators of finite population quantities, especially mean, with maximum efficiency for reaching to valid statistical inference.  Apart from ratio, product and regression estimators, exponential estimators are widely considered by survey statisticians. Motivated from the idea of exponential type estimators, in this article, we propose some new estimators utilizing known median of the study variable with mean of auxiliary variable. Theoretical properties of the suggested estimators are studied up to first order of approximation. In addition, an empirical and simulation study the comparison of median based proposed class of estimators with sample mean, ratio and linear regression estimators  are discussed. The results expose that the proposed estimators are more efficient than the existing estimators.

Bias efficiency mean median exponential estimators

Cited by 2

POWER MEDIAN-BASED ESTIMATORS OF FINITE POPULATION MEAN

Ajibola Yahya Yusuf, Ahmed Audu, Mojeed Abiodun Yunusa · FUDMA JOURNAL OF SCIENCES · 2024

A Nonconventional Auxiliary Information Based Robust Class of Exponential-type Difference Estimators

Muhammad Abid, Waqas Latif, Tahir Nawaz · Mathematical Problems in Engineering · 2022

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