Variance estimation using linear combination of non conventional measures and coefficient of kurtosis
International Journal of Development Research
Variance estimation using linear combination of non conventional measures and coefficient of kurtosis
Received 14th February, 2017; Received in revised form 20th March, 2017; Accepted 03rd April, 2017; Published online 18th May, 2017
Copyright©2017, Bhat et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In the present study we propose new modified ratio estimators for estimating the population variance by using auxiliary information of non conventional location measures, non conventional measures of dispersion and coefficient of kurtosis. The properties associated with the proposed estimators are assessed by mean square error and compare with the existing estimators. By this comparison we conclude that our proposed estimators are more efficient than existing estimators. Numerical study is also provided to support the theoretical results.
