A Difference Type Estimator for Estimating Population Variance with Possible Applications to Random Stock and Dividend Growth

Rajesh Singh
2014 American Journal of Applied Mathematics  
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.
doi:10.11648/j.ajam.20140203.14 fatcat:gdpflija2bd7lb7jmw265qq3dq