Log logistic distribution to model water demand data | Zendy

Seevali Surendran | Zendy; Kiran TotaMaharaj | Zendy

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Log logistic distribution to model water demand data

Author(s) -

Seevali Surendran,

Kiran TotaMaharaj

Publication year - 2015

Publication title -

procedia engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.32

H-Index - 74

ISSN - 1877-7058

DOI - 10.1016/j.proeng.2015.08.940

Subject(s) - weibull distribution , log logistic distribution , goodness of fit , statistic , statistics , probability density function , logistic function , logistic distribution , probability distribution , econometrics , mathematics , logistic regression , water consumption , normal distribution , distribution fitting , environmental science , environmental engineering

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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