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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

机译:涉及一些指数,双曲线和三角基本功能的非基本积分的分析评价和新概率测量的推导概述伽马型和高斯型分布

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摘要

The non-elementary integrals involving elementary exponential, hyperbolic and trigonometric functions, and where α,η and β 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.
机译:涉及基本指数,双曲线和三角函数的非基本积分,以及其中α,η和β是真实的或复数常数的基础函数1f1和超几何函数1f2。双曲线和欧拉标识用于导出涉及指数,双曲线,三角函数和超细函数1F1和1F2的一些身份。评估了这些非基本积分,一些新的概率测量概括了伽马型和高斯分布。所获得的广义概率分布可以例如允许执行比已经已知的更好的统计测试(例如Chi-Square(X2)统计测试和基于中央限制定理(CLT)构造的其他统计测试,同时避免使用计算近似(或方法)一般昂贵并且与数值误差相关联。

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