Results 251 to 260 of about 136,469 (282)

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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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
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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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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
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Statistical Inference for the Information Entropy of the Log-Logistic Distribution under Progressive Type-I Interval Censoring Schemes

Symmetry, 2018
In recent years, information entropy has been studied and developed rapidly across disciplines as a measure of information value. In this article, the maximum likelihood estimation and EM algorithm are used to estimate the parameters of the log-logistic ...
Wenhao Gui, Gui Wenhao
exaly   +2 more sources

Estimation of the scale parameter of a log-logistic distribution

Metrika, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lesitha, G., Yageen Thomas, P.
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Fitting the log-logistic distribution by generalized moments

Journal of Hydrology, 2006
Summary The method of generalized moments (GM) is investigated for parameter and quantile estimation in the 2-parameter log-logistic (LL2) model. Point estimators for the shape and scale parameters and quantiles are derived. Asymptotic variances and covariances for these estimators are presented, along with simulation results on the performance of ...
Fahim Ashkar, Smail Mahdi
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On order statistics from the log-logistic distribution

Journal of Statistical Planning and Inference, 1987
Recurrence relations for negative and fractional moments of single order statistics and product and quotient moments of two order statistics drawn from log-logistic distribution have been obtained.
Ali, Mir Masoom, Khan, A. H.
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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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A note on a characterization of the generalized log‐logistic distribution

Environmetrics, 1990
AbstractThe log‐logistic distribution (LLD) is very useful in a wide variety of applications, especially in the analysis of survival data (O'Quigley and Struthers 1982; Bennett 1983; Cox and Snell 1989). The LLD is very similar in shape to the log‐normal distribution, however it has the advantage of having simple algebraic expressions for its survivor ...
Mohammed A. El‐Saidi, Karan P. Singh, Alfred A. Bartolucci   +2 more
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