
In this paper we consider the distribution G ( x ) = F − 1 ∫ 0 x ( Γ ( t ) ) − 1 d t G(x) = {F^{ - 1}}\smallint _0^x{(\Gamma (t))^{ - 1}}\;dt . The aim of the investigation is twofold: first,to find numerical values of characteristics such as moments, variance, skewness, kurtosis,etc.; second, to study analytically and numerically the moment generating function φ ( t ) = ∫ 0 ∞ e − t x / Γ ( x ) d x \varphi (t) = \smallint _0^\infty {e^{ - tx}}/\Gamma (x)\;dx . Furthermore, we also make a generalization of the reciprocal gamma distribution, and study some of its properties.
population characteristics, Computation of special functions and constants, construction of tables, reciprocal gamma distribution, generating function, Ramanujan, Probabilistic methods, stochastic differential equations, Bell numbers, Gamma, beta and polygamma functions, confluent hypergeometric function, Stirling numbers
population characteristics, Computation of special functions and constants, construction of tables, reciprocal gamma distribution, generating function, Ramanujan, Probabilistic methods, stochastic differential equations, Bell numbers, Gamma, beta and polygamma functions, confluent hypergeometric function, Stirling numbers
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