Abstract
The WJ probability density distribution function describes a general mechanism for various stochastic processes including extreme events and critical phenomena. This work investigates the potential application of the WJ distribution in information theory, by means of exploring the distribution itself, the probability density distribution function of information entropy and an expression for relative information entropy. Changing the multiple parameters of the function, the WJ probability density distribution function as well as the corresponding information entropy function distribution and relative information entropy is systematically analysed and compared. The characteristics of the WJ probability density distribution function and information entropy function are explicitly manifested, showing application prospective of the distribution in information theory.
Published Version
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