Log logistic distribution to model water demand data

Seevali Surendran*, Kiran Tota-Maharaj

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

There had been insufficient studies previously to conclude the suitability of the appropriate probability distribution functions in modelling water demand. The purpose of this study is to find an appropriate probability density function to apply in simulating water demand using real water consumption data. Daily water consumption data for four years obtained from a water company in UK and analysed using normal, log normal, log logistic and Weibull distributions and a comparison on the applicability of each distribution was assessed. Statistical modelling was performed using MINITAB. The Anderson Darling (AD) statistic was used as the goodness of fit parameter in the analysis.

Original languageEnglish
Pages (from-to)798-802
Number of pages5
JournalProcedia Engineering
Volume119
Issue number1
DOIs
Publication statusPublished - 1 Sep 2015
Event11th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2010 - Chicago, IL, United States
Duration: 20 Sep 201024 Sep 2010

Bibliographical note

© 2015 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Keywords

  • Anderson Darling
  • Log logistic distribution
  • Minitab
  • Probability distribution function
  • Stochastic nature
  • Water demand

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