Cart (Loading....) | Create Account
Close category search window

A Systematic Procedure for Accurately Approximating Lognormal-Sum Distributions

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Zhang, Q.T. ; City Univ. of Hong Kong, Kowloon ; Song, S.H.

Lognormal approximation to a sum of lognormal variables has been widely adopted in wireless communications, and its justification is based on the intuition that after taking a logarithm, a lognormal sum can converge to a Gaussian variable. In this paper, we show how to fit a lognormal sum with the best candidate from a large family of distributions, including the lognormal, by resorting to a systematic procedure of model selection and parameter estimation. It is found that, over a general parameter setting, a much better approximation for the lognormal sums in the log scale is given by the Pearson type-IV distribution whose parameters can easily be determined through simple arithmetic operations. Numerical examples are presented for illustration.

Published in:

Vehicular Technology, IEEE Transactions on  (Volume:57 ,  Issue: 1 )

Date of Publication:

Jan. 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.