Log logistic distribution to model water demand data

Surendran, Seevali; Tota-Maharaj, Kiran

Abstract

© 2015 The Authors. Published by Elsevier Ltd. 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.

Citation

Surendran, S., & Tota-Maharaj, K. Log logistic distribution to model water demand data. Paper presented at Procedia Engineering, Leicester, UK

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: Procedia Engineering
• Publication Date: Jan 1, 2015
• Deposit Date: Aug 16, 2019
• Publicly Available Date: Aug 16, 2019
• Electronic ISSN: 1877-7058
• Publisher: Elsevier
• Volume: 119
• Issue: 1
• Pages: 798-802
• DOI: https://doi.org/10.1016/j.proeng.2015.08.940
• Keywords: water demand; stochastic nature; probability distribution function; log logistic distribution; minitab; Anderson Darling
• Public URL: https://uwe-repository.worktribe.com/output/2272703
• Publisher URL: https://doi.org/10.1016/j.proeng.2015.08.940