scholarly journals Use of auxiliary information in estimation of the finite population mean: An exponential type of estimator

2021 ◽  
Keyword(s):  
Exponential Type ◽  
Finite Population ◽  
Auxiliary Information ◽  
Population Mean

scholarly journals A generalized exponential-type estimator for population mean using auxiliary attributes

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0246947
Author(s):  
Sohail Ahmad ◽  
Muhammad Arslan ◽  
Aamna Khan ◽  
Javid Shabbir
Keyword(s):  
Exponential Type ◽  
Random Sampling ◽  
Finite Population ◽  
Mean Squared Error ◽  
Simple Random Sampling ◽  
Stratified Random Sampling ◽  
Population Mean ◽  
First Order ◽  
Squared Error ◽  
Class Of Estimators

In this paper, we propose a generalized class of exponential type estimators for estimating the finite population mean using two auxiliary attributes under simple random sampling and stratified random sampling. The bias and mean squared error (MSE) of the proposed class of estimators are derived up to first order of approximation. Both empirical study and theoretical comparisons are discussed. Four populations are used to support the theoretical findings. It is observed that the proposed class of estimators perform better as compared to all other considered estimator in simple and stratified random sampling.

scholarly journals Modified Exponential Ratio and Product Estimators for Finite Population Mean in Double Sampling

2016 ◽  
Vol 36 (3) ◽  
Author(s):  
Housila P. Singh ◽  
Gajendra K. Vishwakarma
Keyword(s):  
Empirical Study ◽  
Finite Population ◽  
Auxiliary Information ◽  
Double Sampling ◽  
Population Mean ◽  
Sampling Ratio

This paper presents exponential ratio and product estimators for estimating finite population mean using auxiliary information in double sampling and analyzes their properties. These estimators are compared for their precision with simple mean per unit, usual double sampling ratio and product estimators. An empirical study is also carried out to judge the merits of the suggested estimators.

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