New Ratio Estimators for Estimating Population Mean in Simple Random Sampling using a Coefficient of Variation, Correlation Coefficient and a Regression Coefficient

Nuanpan LAWSON

Makale detayları

New Ratio Estimators for Estimating Population Mean in Simple Random Sampling using a Coefficient of Variation, Correlation Coefficient and a Regression Coefficient

Yazarlar:

Nuanpan LAWSON

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2017 Vol.30 Issue 4, pp.610-621

Belge Tipi:

Makale

Yayın Tarihi:

12/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000428383

eISSN:

2147-1762

Özet:

 


We propose new ratio estimators for estimating population mean using known auxiliary variables in this paper. To estimate the population mean of the study variable we use a known population coefficient of variation of the auxiliary variable, correlation coefficient between an interest variable and an auxiliary variable and also the sample regression coefficient of interest variable of an auxiliary variable. The expressions for the bias and mean square error (MSE) of the proposed estimators up to the first order of approximation have been obtained. The performance of proposed estimators are compared with existing estimators using both theoretical and empirical data.

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Makale detayları

New Ratio Estimators for Estimating Population Mean in Simple Random Sampling using a Coefficient of Variation, Correlation Coefficient and a Regression Coefficient

Yazarlar: Nuanpan LAWSON

Yayıncı: Gazi University

Dergi: Gazi University Journal of Science 2017 Vol.30 Issue 4, pp.610-621

Belge Tipi: Makale

Yayın Tarihi: 12/2017

Belge Dili: Türkçe

Document ID (Org No.): 2000428383

eISSN: 2147-1762

Sayı

Yazarlar:

Nuanpan LAWSON

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science 2017 Vol.30 Issue 4, pp.610-621

Belge Tipi:

Makale

Yayın Tarihi:

12/2017

Belge Dili:

Türkçe

Document ID (Org No.):

2000428383

eISSN:

2147-1762