Results 31 to 40 of about 136,993 (252)
Noninformative priors for the log-logistic distribution [PDF]
Abstract In this paper, we develop the noninformative priors for the scale parameter andthe shape parameter in the log-logistic distribution. We developed the rst and secondorder matching priors. It turns out that the second order matching prior matches the al-ternative coverage probabilities, and is a highest posterior density matching prior.
Sang Gil Kang, Dal Ho Kim, Woo Dong Lee
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Minimum K-S estimator using PH-transform technique [PDF]
In this paper, we propose an improvement of the Minimum Kolmogorov-Smirnov (K-S) estimator using proportional hazards transform (PH-transform) technique. The data of experiment is 47 fire accidents data of an insurance company in Thailand.
Somchit Boonthiem +3 more
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Parametric Models in Survival Analysis for Lung Cancer Patients
The aim of this study is to estimate the survival function for the data of lung cancer patients, using parametric methods (Weibull, Gumbel, exponential and log-logistic).
Layla A. Ahmed
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The Log-logistic Weibull Distribution with Applications to Lifetime Data
In this paper, a new generalized distribution called the log-logistic Weibull (LLoGW) distribution is developed and presented. This dis- tribution contain the log-logistic Rayleigh (LLoGR), log-logistic expo- nential (LLoGE) and log-logistic (LLoG ...
Broderick Oluyede +3 more
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Survival Analysis and Hazard of Log Logistic Distribution on Type I Censored Data Parametrically
Survival Analysis is a research method that examines the survival time of individuals or experimental units in relation to events such as death, disease, recovery, or other experiences.
Ardi Kurniawan +2 more
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The Generalized Weibull Family of Distribution [PDF]
In this article the T-X family is introduced by givening the cumulative distribution function (CDF) R{W(F(x))}, where R is the CDF of a random variable T, F is the CDF of X and W is an increasing function defined on [0, 1] having the support of T as its
nader fathi +3 more
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Neutrosophic Log-Logistic Distribution Model in Complex Alloy Metal Melting Point Applications
The log-logistic distribution is more comprehensively applied in the area of survival and reliability engineering analysis for modeling the lifetime data practices of both human and electronic designs.
Gadde Srinivasa Rao
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The log-normal, log-logistic and Weibull distributions are commonly utilized to model survival data. Unimodal (or non-monotone) failure rate functions are modeled using the log-normal and the log-logistic families, whereas monotone failure rate functions
Abdisalam Hassan Muse +5 more
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Robust Explicit Estimation of the Log-Logistic Distribution with Applications
21 pages, 2 ...
Zhuanzhuan Ma, Min Wang, Chanseok Park
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Background The creation of developing new generalized classes of distributions has attracted applied and theoretical statisticians owing to their properties of flexibility. The development of generalized distribution aims to find distribution flexibility
Arnold K. Fulment +2 more
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