A Difference Type Estimator for Estimating Population Variance with Possible Applications to Random Stock and Dividend Growth
American Journal of Applied Mathematics
Volume 2, Issue 3, June 2014, Pages: 92-95
Received: Jun. 8, 2014; Accepted: Jun. 19, 2014; Published: Jun. 30, 2014
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Authors
Rajesh Singh, Department of Statistics, BHU, Varanasi, India
Viplav Kumar Singh, Department of Statistics, BHU, Varanasi, India
Mohd Khoshnevisan, Associate Professor of Finance, Ajman University of Science and Technology, UAE
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Abstract
In this paper we have suggested a difference type estimator for estimating the unknown population variance of the study variable y using auxiliary information. The optimum estimator in the suggested method has been identified along with its mean square error formula and it is seen that the suggested estimator performs better than other existing estimators. An empirical study is carried out to judge the merits of proposed estimator over other traditional estimators.
Keywords
Study Variable, Auxiliary Variable, Mean Square Error, Bias, Simple Random Sampling
To cite this article
Rajesh Singh, Viplav Kumar Singh, Mohd Khoshnevisan, A Difference Type Estimator for Estimating Population Variance with Possible Applications to Random Stock and Dividend Growth, American Journal of Applied Mathematics. Vol. 2, No. 3, 2014, pp. 92-95. doi: 10.11648/j.ajam.20140203.14
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