in this paper, we consider admissible estimation of the parameter ?r in the gamma distribution with truncated parameter space under entropy loss function. we obtain the classes of admissible estimators. the result can be applied to estimation of parameters in the normal, lognormal, pareto, generalized gamma, generalized laplace and other distributions.

this paper is concerned with the problem of finding the minimax estimators of the scale parameter ? 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 th...

The problem of hypothesis testing of the location parameter of the two-parameter exponential distribution and scale parameter of the pareto and uniform distribution are considered. We construct the test statistics based on Ranked Set Sampling (RSS) and Extreme RSS (ERSS) and compared their powers to the power of Uniformly Most Powerful (UMP) test by numerical computation. The results show that ...

mance of multiple objective evolutionary algorithms on distribution system desi gn problem – computational experiment, in: Abstract. The paper presents a comparative experiment with fo ur multiple objective evolutionary algorithms on a real life co mbinatorial optimization problem. The test problem corresponds to the design of a distribution system. The experiment compares performance of a Pare...

Using public data (Forbes Global 2000) we show that the distribution of asset sizes for the largest global firms follows a Pareto distribution in an intermediate range that is “interrupted” by a sharp cutoff in its upper tail, which is totally dominated by financial firms. This contrasts with a large body of empirical literature which finds a Pareto distribution for firm sizes both across count...