Computation of Kovanic’s Expectedness Distributions with the Help of Parallel Computing – Extended Version I.
Our paper describes part I. (unknown scale parameter and data support interval) of the algorithmic construction of extended Kovanic’s expectedness distribution formulas and the technique of computation of the gnostical scale parameter and bounds of data support interval with the help of the matlab parallel computing toolbox. Properties of distributions (and their derivatives) are demonstrated also by graphical figuration.
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