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A new moment-dependeht method of probability distribution identification

  • A. N. Shuaib
  • , S. Z. Selim
  • , M. Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A distribution identification method is developed in this paper. The method derives a sequence of characteristic standardized moment ratios(CSMR) for a class of common continuous distributions. The use of the method has been demonstrated via several examples of identifying hypothesized random variables. The method correctly identified the hypothesized distributions.

Original languageEnglish
Title of host publicationProceedings of ISUMA 1990 - 1st International Symposium on Uncertainty Modeling and Analysis
EditorsBilaI M. Ayyub
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages341-347
Number of pages7
ISBN (Electronic)0818621079, 9780818621079
DOIs
StatePublished - 1990

Publication series

NameProceedings of ISUMA 1990 - 1st International Symposium on Uncertainty Modeling and Analysis

Bibliographical note

Publisher Copyright:
© 1990 IEEE.

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Statistics, Probability and Uncertainty
  • Safety, Risk, Reliability and Quality
  • Modeling and Simulation

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