Difference-Cum-Ratio Estimators for Estimating Finite Population Coefficient of Variation in Simple Random Sampling

A. Audu

Department of Mathematics, Usmanu Danfodiyo University Sokoto, Nigeria.

M. A. Yunusa

Department of Mathematics, Usmanu Danfodiyo University Sokoto, Nigeria.

O. O. Ishaq *

Department of Statistics, Kano University of Science and Technology, Nigeria.

M. K. Lawal

Academic Planning Unit, Federal Polytechnic Bida, Nigeria.

A. Rashida

State College of Basic and Remedial Studies, Sokoto, Nigeria.

A. H. Muhammad

State College of Basic and Remedial Studies, Sokoto, Nigeria.

A. B. Bello

State College of Basic and Remedial Studies, Sokoto, Nigeria.

M. U. Hairullahi

State College of Basic and Remedial Studies, Sokoto, Nigeria.

J. O. Muili

Department of Mathematics, Usmanu Danfodiyo University Sokoto, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

In this paper, three difference-cum-ratio estimators for estimating finite population coefficient of variation of the study variable using known population mean, population variance and population coefficient of variation of auxiliary variable were suggested. The biases and mean square errors (MSEs) of the proposed estimators were obtained. The relative performance of the proposed estimators with respect to that of some existing estimators were assessed using two populations’ information. The results showed that the proposed estimators were more efficient than the usual unbiased, ratio type, exponential ratio-type, difference-type and other existing estimators considered in the study.

Keywords: Auxiliary variable, MSE, coefficient of variation, study variable, simple random sampling


How to Cite

Audu, A., M. A. Yunusa, O. O. Ishaq, M. K. Lawal, A. Rashida, A. H. Muhammad, A. B. Bello, M. U. Hairullahi, and J. O. Muili. 2021. “Difference-Cum-Ratio Estimators for Estimating Finite Population Coefficient of Variation in Simple Random Sampling”. Asian Journal of Probability and Statistics 13 (3):13-29. https://doi.org/10.9734/ajpas/2021/v13i330308.

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