Results 211 to 220 of about 136,993 (252)

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.
Ayman Alzaatreh, Mohammad Ahsanullah
exaly   +2 more sources

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.
R R L Kantam, K Rosaiah
exaly   +2 more sources

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., Vasudeva Rao, A., Srinivasa Rao, G.   +2 more
openaire   +2 more sources

The Odd Log-Logistic Log-Normal Distribution with Theory and Applications

Advances in Data Science and Adaptive Analysis, 2018
In this paper, a new heavy-tailed distribution is used to model data with a strong right tail, as often occuring in practical situations. The proposed distribution is derived from the log-normal distribution, by using odd log-logistic distribution. Statistical properties of this distribution, including hazard function, moments, quantile function, and ...
Ozel, Gamze, Altun, Emrah, Alizadeh, Morad, Mozafari, Mahdieh   +3 more
openaire   +2 more sources

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, Shafiqah A. Al-Awadhi, Debasis Kundu   +2 more
openaire   +1 more source

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

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
openaire   +2 more sources

Odd Log-Logistic Modified Weibull Distribution

Mediterranean Journal of Mathematics, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Saboor, Abdus, Alizadeh, Morad, Khan, Muhammad Nauman, Ghosh, Indranil, Cordeiro, Gauss M.   +4 more
openaire   +2 more sources

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
openaire   +1 more source

A sequential sampling approach for discriminating log-normal, Weibull, and log-logistic distributions

Communications in Statistics - Simulation and Computation, 2021
Log-normal, Weibull, and log-logistic distributions are widely used in modeling nonnegative skewed data.
Biplab Paul, Shyamal K. De, Debasis Kundu   +2 more
openaire   +1 more source