Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

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

Not Accessible

Your library or personal account may give you access

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.

© 1979 Optical Society of America

Full Article  |  PDF Article
More Like This
Higher-order statistics of laser-irradiance fluctuations due to turbulence

Arun K. Majumdar
J. Opt. Soc. Am. A 1(11) 1067-1074 (1984)

K distributions in atmospheric propagation of laser light

G. Parry and P. N. Puaey
J. Opt. Soc. Am. 69(5) 796-798 (1979)

Statistical properties of counting distributions for intensity-modulated sources

Paul R. Prucnal and Malvin Carl Teich
J. Opt. Soc. Am. 69(4) 539-544 (1979)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (2)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (34)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.