Results 1 to 10 of about 136,469 (282)

Properties, estimation, and applications of the extended log-logistic distribution [PDF]

Scientific Reports
This paper presents the exponentiated alpha-power log-logistic (EAPLL) distribution, which extends the log-logistic distribution. The EAPLL distribution emphasizes its suitability for survival data modeling by providing analytical simplicity and ...
Veronica Kariuki, Anthony Wanjoya, Oscar Ngesa, Amirah Saeed Alharthi, Hassan M. Aljohani, Ahmed Z. Afify   +5 more
doaj   +5 more sources

The Extended Log-Logistic Distribution: Properties and Application [PDF]

Anais da Academia Brasileira de Ciências, 2017
We propose a new four-parameter lifetime model, called the extended log-logistic distribution, to generalize the two-parameter log-logistic model. The new model is quite flexible to analyze positive data. We provide some mathematical properties including
STÊNIO R. LIMA, GAUSS M. CORDEIRO
doaj   +8 more sources

The Kumaraswamy Marshall-Olkin Log-Logistic Distribution with Application [PDF]

Journal of Statistical Theory and Applications (JSTA), 2018
In this paper, we define and study a new lifetime model called the Kumaraswamy Marshall-Olkin log-logistic distribution. The new model has the advantage of being capable of modeling various shapes of aging and failure criteria.
Selen Cakmakyapan, Gamze Ozel, Yehia Mousa Hussein El Gebaly, G. G. Hamedani   +3 more
doaj   +5 more sources

The Extended Log-Logistic Distribution: Inference and Actuarial Applications

Mathematics, 2021
Actuaries are interested in modeling actuarial data using loss models that can be adopted to describe risk exposure. This paper introduces a new flexible extension of the log-logistic distribution, called the extended log-logistic (Ex-LL) distribution ...
Nada M. Alfaer, Ahmed M. Gemeay, Hassan M. Aljohani, Ahmed Z. Afify   +3 more
doaj   +4 more sources

Application of Odd Lomax log-logistic distribution to cancer data [PDF]

Heliyon
The effectiveness of the parental distribution is modified in this article by adding flexibility, allowing it to capture all characteristics of the provided real-world data sets.
Benson Benedicto Kailembo, Srinivasa Rao Gadde, Peter Josephat Kirigiti   +2 more
doaj   +2 more sources

The Zografos-Balakrishnan Log-Logistic Distribution: Properties and Applications [PDF]

Journal of Statistical Theory and Applications (JSTA), 2013
The log-logistic distribution (also known as the Fisk distribution in economics) is widely used in survival analysis when the failure rate function presents a unimodal shape.
Manoel Wallace A. Ramos, Gauss M. Cordeiro, Pedro Rafael D. Marinho, Cicero Rafael B. Dias, G.G. Hamedani   +4 more
doaj   +3 more sources

The Odd Log-Logistic Dagum Distribution: Properties and Applications

Revista Colombiana de Estadística, 2018
This paper introduces a new four-parameter lifetime model called the odd log-logistic Dagum distribution. The new model has the advantage of being capable of modeling various shapes of aging and failure criteria.
Filippo Domma, Abbas Eftekharian, Ahmed Z. Afify, Morad Alizadeh, Indranil Ghosh   +4 more
doaj   +5 more sources

Frequentist and Bayesian Predictive Inference for the Log-Logistic Distribution Under Progressive Type-II Censoring [PDF]

Entropy
This paper investigates the prediction of unobserved future failure times for the heavy-tailed Log-Logistic distribution under Progressive Type-II censoring.
Ziteng Zhang, Wenhao Gui
doaj   +2 more sources

The beta log-logistic distribution

Brazilian Journal of Probability and Statistics, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Artur J Lemonte
exaly   +4 more sources

Bayesian and frequentist approach for the generalized log-logistic accelerated failure time model with applications to larynx-cancer patients

Alexandria Engineering Journal, 2022
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, Samuel Mwalili, Oscar Ngesa, Huda M. Alshanbari, Saima Khan Khosa, Eslam Hussam   +5 more
doaj   +3 more sources