ON UNBIASED RATIO ESTIMATOR OF FINITE POPULATION TOTAL IN STRATIFIED RANDOM SAMPLING UNDER NON-RESPONSE

2021 ◽  
Vol 68 (2) ◽  
pp. 125-134
Author(s):  
David Oyoo ◽  
Moses Manene ◽  
Christopher Ouma ◽  
George Muhua
Keyword(s):  
Random Sampling ◽  
Finite Population ◽  
Stratified Random Sampling ◽  
Ratio Estimator ◽  
Population Total

scholarly journals Multivariate Ratio Estimator of the Population Total under Stratified Random Sampling

2012 ◽  
Vol 02 (03) ◽  
pp. 300-304 ◽  
Author(s):  
Oscar O. Ngesa ◽  
G. O. Orwa ◽  
R. O. Otieno ◽  
H. M. Murray
Keyword(s):  
Random Sampling ◽  
Stratified Random Sampling ◽  
Ratio Estimator ◽  
Population Total

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.

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