Results 261 to 270 of about 495,754 (290)

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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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., Kantam, R. R. L., Santosh Kumar, Ch.   +2 more
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Modified best linear unbiased estimator of the shape parameter of log-logistic distribution

, 2020
In statistical parameter estimation problems, how well the parameters are estimated largely depends on the sampling design used. In this article, a modified best linear unbiased estimator of the shape parameter β from log-logistic distribution is ...
Xiaofang He, Wangxue Chen, Rui Yang
semanticscholar   +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, S.P Ahmad, Raeesa Bashir   +2 more
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An economic reliability test plan: Log-logistic distribution

Journal of Applied Statistics, 2006
Sampling plans in which items that are put to test, to collect the life of the items in order to decide upon accepting or rejecting a submitted lot, are called reliability test plans. The basic probability model of the life of the product is specified as the well-known log-logistic distribution with a known shape parameter. For a given producer's risk,
R. R.L. Kantam, G. Srinivasa Rao, B. Sriram   +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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Estimator based on percentiles for log-logistic distribution

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE), 2012
In this study, we consider the estimator based on percentiles for log-logistic distribution similar to the study of [6] and we also graph breakdown plots of the estimators that are considered below to have an opinion about robustness properties. The estimator based on percentiles is explicit functions of sample percentiles, thus, easy to compute and do
Arık, I., Mert Kantar, Yeliz
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The exponentiated-log-logistic geometric distribution: Dual activation

Communications in Statistics - Theory and Methods, 2015
ABSTRACTThe log-logistic distribution is commonly used to model lifetime data. We propose a wider distribution, named the exponentiated log-logistic geometric distribution, based on a double activation approach. We obtain the quantile function, ordinary moments, and generating function.
Natalie V. R. Mendoza, Edwin M. M. Ortega, Gauss M. Cordeiro   +2 more
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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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