Average Sample Number Function for Pareto Heavy Tailed Distributions

Boukhalfa El-Hafsi
2013 ISRN Applied Mathematics  
The main purpose of this work is shortly to give the average sample number function after a sequential probability ratio test on the index parameter alpha of stable densities, which we give a mean of the number of data required to take decision in the case , we use the fact that the tails of Levy-stable distributions are asymptotically equivalent to a Pareto law for large data. Stable distributions are a rich class of probability distributions that allow skewness and heavy tails and have many
more » ... triguing mathematical properties. The lack of closed formulas for densities and distribution functions for all has been a major drawback to the use of stable distributions by practitioners, but few stable distributions have the analytical formula of their densities functions which are Gauss, Levy, and Cauchy.
doi:10.1155/2013/938545 fatcat:i5ktlut4tvc25ccohbffprtdre