作者: Seevali Surendran , Kiran Tota-Maharaj
关键词: Distribution (economics) 、 Probability density function 、 Mathematics 、 Statistical model 、 Consumption (economics) 、 Probabilistic logic 、 Statistics 、 Log-logistic distribution 、 Weibull distribution 、 Random variable
摘要: Water consumption varies with time of use, season and socio-economic status consumers, is defined as a continuous random variable. Incorporating probabilistic nature in water-consumption modelling will lead to more realistic assessments performance water distribution systems. Furthermore, fitting patterns into suitable statistical assist determining how often peaks occur, or the probability exceeding peaking factor system, for incorporation design calculations. There are few studies literature where variations have been considered. The purpose this study evaluate real data from United Kingdom (UK) North America investigate possibility establishing standard function apply simulating developed countries. Daily five years (2009–2013) were obtained companies UK analysed by normal, log-normal, log-logistic Weibull distributions. Statistical was performed using MINITAB version 18 package. Anderson-Darling goodness-of-fit test used show well selected fits data.