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Numerical evaluation of cumulative probability distribution functions directly from characteristic functions

Albert H. Nuttall

Open publisher page 28 citations

Abstract

A method for direct numerical evaluation of the cumulative probability distribution function from the characteristic function in terms of a single integral is presented. No moment evaluation or series expansions are required. Intermediate evaluation of the probability density function is circumvented. The method takes on a special form when the random variables are discrete.

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A method for direct numerical evaluation of the cumulative probability distribution function from the characteristic function in terms of a single integral is presented. No moment evaluation or series expansions are required. Intermediate evaluation of the probability density function is circumvented. The method takes on a special form when the random variables are discrete.

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Available abstract

A method for direct numerical evaluation of the cumulative probability distribution function from the characteristic function in terms of a single integral is presented. No moment evaluation or series expansions are required. Intermediate evaluation of the probability density function is circumvented. The method takes on a special form when the random variables are discrete.

Key concepts: Moment-generating function, Cumulative distribution function, Probability density function, Mathematics, Probability mass function, Probability distribution, Characteristic function (probability theory), Random variable

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