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Average Sample Number Function for Pareto Heavy Tailed Distributions
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
doi:10.1155/2013/938545
fatcat:i5ktlut4tvc25ccohbffprtdre