Title: Unbiased Variance Estimators in the Parametric Case
Abstract: Unbiased estimators for the variance are considered in the parametric case. Two methods of finding unbiased estimators are discussed. The first method is designed for one-parameter truncated families of distributions in which the minimum or maximum sample component is a sufficient statistic. The second method of unbiased variance estimation which is is based on unbiased estimators for an integral functional of distribution densities.