Abstract:
We propose a dual to variance ratio-type estimator to estimate the finite population variance. The optimum mean square error of this estimator is equal to variance of a linear regression estimator and is better than the usual unbiased variance estimator and Isaki (Jour Amer. Statis Assoc. 78: 117-123, 1983) estimator. We use the jackknife technique to make the proposed estimator unbiased. The validity of the proposed estimator is examined by using the various data sets.
Page(s):
279-283
DOI:
DOI not available
Published:
Journal: Proceedings of Pakistan Academy of Sciences, Volume: 43, Issue: 4, Year: 2006