Log logistic distribution to model water demand data

Seevali Surendran; Kiran Tota-Maharaj

doi:10.1016/j.proeng.2015.08.940

Log logistic distribution to model water demand data

Seevali Surendran^*, Kiran Tota-Maharaj

^*Corresponding author for this work

Engineering Systems & Supply Chain Management

Research output: Contribution to journal › Conference article › peer-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 language	English
Pages (from-to)	798-802
Number of pages	5
Journal	Procedia Engineering
Volume	119
Issue number	1
DOIs	https://doi.org/10.1016/j.proeng.2015.08.940
Publication status	Published - 1 Sept 2015
Event	11th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2010 - Chicago, IL, United States Duration: 20 Sept 2010 → 24 Sept 2010

Bibliographical note

Keywords

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

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10.1016/j.proeng.2015.08.940Licence: CC BY-NC-ND 3.0

Log logistic distribution to model water demand data
© 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/)
Final published version, 348 KBLicence: CC BY-NC-ND 3.0

Cite this

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title = "Log logistic distribution to model water demand data",

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.",

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AB - 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.

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KW - Minitab

KW - Probability distribution function

KW - Stochastic nature

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Y2 - 20 September 2010 through 24 September 2010

ER -

Log logistic distribution to model water demand data

Abstract

Bibliographical note

Keywords

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