scholarly journals A Family of Ratio Estimators in Stratified Random Sampling Utilizing Auxiliary Attribute Along Side the Nonresponse Issue

2019 ◽  
pp. 1 ◽  
Author(s):  
Usman Shahzad ◽  
Muhammad Hanif ◽  
Nursel Koyuncu ◽  
A. V. Garcia Luengo
Keyword(s):  
Random Sampling ◽  
Stratified Random Sampling ◽  
Ratio Estimators

scholarly journals Ratio Estimators Using Coefficient of Variation and Coefficient of Correlation

2014 ◽  
Vol 8 (5) ◽  
pp. 70 ◽  
Author(s):  
Prayad Sangngam
Keyword(s):  
Sample Size ◽  
Coefficient Of Variation ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Stratified Random Sampling ◽  
Size Estimation ◽  
Auxiliary Variables ◽  
Coefficient Of Correlation ◽  
Ratio Estimators ◽  
Mean Square Errors

This paper introduces ratio estimators of the population mean using the coefficient of variation of  study variable and auxiliary variables together with the coefficient of correlation between the study and auxiliary variables under simple random sampling and stratified random sampling. These ratio estimators are almost unbiased. The mean square errors of the estimators and their estimators are given. Sample size estimation in both sampling designs are presented. An optimal sample size allocation in stratified random sampling is also suggested. Based on theoretical study, it can be shown that these ratio estimators have smaller MSE than the unbiased estimators. Moreover, the empirical study indicates that these ratio estimators have smallest MSE compared to the existing ones.

Ratio Estimators in Stratified Random Sampling

2003 ◽  
Vol 45 (2) ◽  
pp. 218-225 ◽  
Author(s):  
C. Kadilar ◽  
H. Cingi
Keyword(s):  
Random Sampling ◽  
Stratified Random Sampling ◽  
Ratio Estimators
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