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 |
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Pages (from-to) | 798-802 |
Number of pages | 5 |
Journal | Procedia Engineering |
Volume | 119 |
Issue number | 1 |
DOIs | |
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
© 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