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Generalized Regression-Cum-Exponential Estimators Using Two Auxiliary Variables for Population Variance in Simple Random Sampling
2019
Journal:  
Gazi University Journal of Science
Author:  
DOI:  
10.35378/gujs.429823
Abstract:

In this paper, we proposed two generalized regression-cum-exponential type estimators for the estimation of finite population variance using the information of mean and variance of the auxiliary variables in simple random sampling (SRS). The expressions of approximate bias and mean square error (MSE) of the proposed estimators are derived. Many special cases of the proposed estimators are obtained by using different combinations of real numbers and some conventional parameters of the auxiliary variables. Algebraic comparisons of the proposed estimators have been made with some available estimators. From the numerical study, we analyzed that the proposed estimators perform well than the existing estimators available in the literature.

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2019
Journal:  
Gazi University Journal of Science
Author:  
DOI:  
10.35378/gujs.429823
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Gazi University Journal of Science

Field :   Fen Bilimleri ve Matematik; Mühendislik

Journal Type :   Uluslararası

Metrics
Article : 1.843
Cite : 1.744
2023 Impact : 0.165
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Gazi University Journal of Science