1979•Journal of the Optical Society of AmericaRequires access

Higher-order skewness and excess coefficients of some probability distributions applicable to optical propagation phenomena

Arun K. Majumdar

Open publisher page 13 citations

Abstract

Expressions are derived for higher-order skewness and excess coefficients using central moments and cumulants up to 8th order. These coefficients are then calculated for three probability distributions: (i) Log-normal, (ii) Rice-Nakagami, and (iii) Gamma distributions. Curves are given to show the variation of skewness with excess coefficients for these distributions. These curves are independent of the particular distribution parameters. This method is useful for studying fluctuating phenomena, which obey non- Gaussian statistics.

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What this paper is about

Expressions are derived for higher-order skewness and excess coefficients using central moments and cumulants up to 8th order. These coefficients are then calculated for three probability distributions: (i) Log-normal, (ii) Rice-Nakagami, and (iii) Gamma distributions. Curves are given to show the variation of skewness with excess coefficients for these distributions. These curves are independent of the particular distribution parameters. This method is useful for studying fluctuating phenomena, which obey non- Gaussian statistics.

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Available abstract

Expressions are derived for higher-order skewness and excess coefficients using central moments and cumulants up to 8th order. These coefficients are then calculated for three probability distributions: (i) Log-normal, (ii) Rice-Nakagami, and (iii) Gamma distributions. Curves are given to show the variation of skewness with excess coefficients for these distributions. These curves are independent of the particular distribution parameters. This method is useful for studying fluctuating phenomena, which obey non- Gaussian statistics.

Key concepts: Skewness, Cumulant, Kurtosis, Statistical physics, Gaussian, Probability distribution, Statistics, Mathematics

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