Effectiveness of log-logistic distribution to model water-consumption data
نویسندگان
چکیده
منابع مشابه
The Zografos–Balakrishnan-log-logistic Distribution
Tthe Zografos–Balakrishnan-log-logistic (ZBLL) distribution is a new distribution of three parameters that has been introduced by Ramos et el. [1], and They presented some properties of the new distribution such as its probability density function, The cumulative distribution function, The moment generating function, its hazard (failure) rate function, quantiles and moments, Rényi and Shannon ...
متن کاملLog-logistic distribution for survival data analysis using MCMC
This paper focuses on the application of Markov Chain Monte Carlo (MCMC) technique for estimating the parameters of log-logistic (LL) distribution which is dependent on a complete sample. To find Bayesian estimates for the parameters of the LL model OpenBUGS-established software for Bayesian analysis based on MCMC technique, is employed. It is presumed that samples for independent non informati...
متن کاملLog-logistic Distribution as a Reliability Model: A Bayesian Analysis
Log-logistic distribution is a very important reliability model as it fits well in many practical situations of reliability data analyses. Another important feature with the log-logistic distribution lies in its closed form expression for survival and hazard functions that makes it advantageous over log-normal distribution. It is therefore more convenient in handling censored data than the log-...
متن کاملBayes approach to study scale parameter of log logistic distribution
Scale parameter of Log logistic distribution has been studied using Bayesian approach. Posterior distribution has derived by using non informative prior. Posterior distribution is not in close form so we have work with quadrature numerical integration. Various loss functions has been utilized to derive the Bayes estimators and their corresponding risks. Simulation study has been performed to co...
متن کاملAnalysis of Record Data from the Scaled Logistic Distribution
In this paper, we consider the estimation of the unknown parameter of the scaled logistic distribution on the basis of record values. The maximum likelihood method does not provide an explicit estimator for the scale parameter. In this article, we present a simple method of deriving an explicit estimator by approximating the likelihood function. Bayes estimator is obtained using importance samp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Water Supply: Research and Technology - Aqua
سال: 2018
ISSN: 0003-7214,1605-3974
DOI: 10.2166/aqua.2018.175