Use of Auxiliary Information in Estimating the Finite Population Mean in Survey Sampling

2011 ◽  
Vol 26 (1) ◽  
Author(s):  
Housila P. Singh ◽  
Unnati Bhayare
Keyword(s):  
Finite Population ◽  
Auxiliary Information ◽  
Survey Sampling ◽  
Population Mean

scholarly journals Estimation of Population Mean in Chain Ratio-Type Estimator under Systematic Sampling

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Mursala Khan ◽  
Rajesh Singh
Keyword(s):  
Finite Population ◽  
Real Data ◽  
Survey Sampling ◽  
Systematic Sampling ◽  
Auxiliary Variables ◽  
Data Set ◽  
Population Mean ◽  
First Order ◽  
The Mean ◽  
A Chain

A chain ratio-type estimator is proposed for the estimation of finite population mean under systematic sampling scheme using two auxiliary variables. The mean square error of the proposed estimator is derived up to the first order of approximation and is compared with other relevant existing estimators. To illustrate the performances of the different estimators in comparison with the usual simple estimator, we have taken a real data set from the literature of survey 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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