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https://doi.org/10.1016/j.amc.2017.10.032

has been cited by the following article:

• TITLE: Analytical Evaluation of Non-Elementary Integrals Involving Some Exponential, Hyperbolic and Trigonometric Elementary Functions and Derivation of New Probability Measures Generalizing the Gamma-Type and Gaussian-Type Distributions

  AUTHORS: Victor Nijimbere

  KEYWORDS: Non-Elementary Integrals, Hypergeometric Function, Confluent Hypergeometric Function, Probability Measure, Generalized Gamma-Type Distributions, Generalized Gaussian-Type Distributions

  JOURNAL NAME: Advances in Pure Mathematics, Vol.10 No.7, July 10, 2020

  ABSTRACT: The non-elementary integrals involving elementary exponential, hyperbolic and trigonometric functions, andwhere α,ηandβ are real or complex constants are evaluated in terms of the confluent hypergeometric function 1F1 and the hypergeometric function 1F2. The hyperbolic and Euler identities are used to derive some identities involving exponential, hyperbolic, trigonometric functions and the hypergeometric functions 1F1 and 1F2. Having evaluated, these non-elementary integrals, some new probability measures generalizing the gamma-type and Gaussian distributions are also obtained. The obtained generalized probability distributions may, for example, allow to perform better statistical tests than those already known (e.g. chi-square (x2) statistical tests and other statistical tests constructed based on the central limit theorem (CLT)), while avoiding the use of computational approximations (or methods) which are in general expensive and associated with numerical errors.