Minimax Estimation of the Scale Parameter in A Family of Transformed Chi-Square Distributions Under Asymmetric Squared Log Error and Mlinex Loss Functions.

This paper is concerned with the problem of finding the minimax estimators of the scale parameter (theta) in a family of transformed chi-square distributions, under asymmetric squared log error (sle) and modified linear exponential (mlinex) loss functions, using the lehmann theorem [2]. also we show that the results of podder et al. [4] for pareto distribution are a special case of our results for this family of distributions.