2018•IEEE Wireless Communications LettersRequires access

Accurate Closed-Form Approximations for the Sum of Correlated Weibull Random Variables

Faissal El Bouanani, Daniel Benevides da Costa

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Abstract

In this letter, a highly accurate approximate approach for the sum of arbitrary correlated Weibull random variables is proposed. Specifically, closed-form approximate expressions for the probability density function, cumulative distribution function, and moment generating function are derived, and their accuracies are corroborated through Monte Carlo simulations for several representative examples.

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What this paper is about

In this letter, a highly accurate approximate approach for the sum of arbitrary correlated Weibull random variables is proposed. Specifically, closed-form approximate expressions for the probability density function, cumulative distribution function, and moment generating function are derived, and their accuracies are corroborated through Monte Carlo simulations for several representative examples.

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Available abstract

In this letter, a highly accurate approximate approach for the sum of arbitrary correlated Weibull random variables is proposed. Specifically, closed-form approximate expressions for the probability density function, cumulative distribution function, and moment generating function are derived, and their accuracies are corroborated through Monte Carlo simulations for several representative examples.

Key concepts: Moment-generating function, Cumulative distribution function, Weibull distribution, Probability density function, Monte Carlo method, Random variable, Mathematics, Moment (physics)

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