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Control Charts for the Log-Logistic Distribution

Economic Quality Control, 2006
Summary: This paper deals with the log-logistic distribution as a life time model. Control charts and the corresponding control limits are developed analogous to Shewhart-charts for the process mean and process range. The proposed control limits are compared with those of Shewhart in detecting out of control signals for various sample sizes.
Kantam, R. R. L.   +2 more
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Some Characterizations of the Log-Logistic Distribution

Stochastics and Quality Control, 2018
Abstract The log-logistic distribution is a right skewed distribution of a random variable whose logarithm has the logistic distribution. In this paper, characterizations based on truncated moments, functions of order statistics and record values are obtained. Also, limiting distributions for the extreme order statistics are studied.
Ahsanullah, Mohammad, Alzaatreh, Ayman
openaire   +1 more source

Survival models based upon the logistic and log-logistic distributions

Computer Programs in Biomedicine, 1982
LOGC and LOGLOGC are interactive FORTRAN programs which fit the logistic and log--logistic regression models to censored survival data. Maximum likelihood estimates of parameters and estimates of their standard errors are given together with the corresponding log-likelihood. Survivorship functions, median remaining lifetimes and estimates of confidence
J, O'Quigley, L, Struthers
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Transmuted Log-Logistic Distribution

Journal of Statistics Applications & Probability, 2013
A generalization of the log-logistic distribution so-called the transmuted log-logistic distribution is proposed and studied. Various structural properties including explicit expressions for the moments, quantiles, mean deviations of the new distribution are derived. The estimation of the model parameters is performed by maximum likelihood method.
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Discriminating among Weibull, log-normal, and log-logistic distributions

Communications in Statistics - Simulation and Computation, 2017
ABSTRACTIn this article, we consider the problem of the model selection/discrimination among three different positively skewed lifetime distributions.
Mohammad Z. Raqab   +2 more
openaire   +1 more source

Reliability Test Plans for Exponentiated Log-Logistic Distribution

Economic Quality Control, 2006
Summary: A generalization of the log-logistic distribution, called exponentiated log-logistic distribution [in lines of the exponentiated Weibull distribution suggested by \textit{G. S. Mudholkar} et al., Technometrics 37, No. 4, 436--445 (1995)] is considered.
Rosaiah, K.   +2 more
openaire   +1 more source

Objective Bayesian Analysis for Log-logistic Distribution

Communications in Statistics - Simulation and Computation, 2015
In this article, Bayesian approach is applied to estimate the parameters of Log-logistic distribution under reference prior and Jeffreys’ prior. The reference prior is derived and it is found that the reference prior is also a second-order matching priors as for the case of any parameter of interest.
Kamran Abbas, Yincai Tang
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Odd Lindley Log-Logistic Distribution: Properties and Application

2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2020
In this manuscript, a new model is forth put using Odd Lindley-G family of distributions. Several important statistical properties are obtained. The parameter estimation is also worked out. Two real life data sets are incorporated to illustrate the significance of proposed model in real life.
Aliya Syed Malik   +2 more
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Two-Parameter Log-Logistic Distribution

1998
Some general aspects of the log-logistic distribution (LLD) are discussed in Chapter 17. The three-parameter log-logistic distribution (LLD3) is a generalization of the two-parameter log-logistic distribution. The LLD3 has been applied to frequency analysis of precipitation and streamflow data. Ahmad, et al.
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Estimation of parameters in logistic and log-logistic distribution with grouped data

Lifetime Data Analysis, 2007
In many situations, instead of a complete sample, data are available only in grouped form. For example, grouped failure time data occur in studies in which subjects are monitored periodically to determine whether failure has occurred in the predetermined intervals. Here the model under consideration is the log-logistic distribution.
Zhou, Yan Yan, Mi, Jie, Guo, Shengru
openaire   +2 more sources

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