Results 11 to 20 of about 356,775 (282)
Quantile Regression with a New Exponentiated Odd Log-Logistic Weibull Distribution
Mathematics, 2023 We define a new quantile regression model based on a reparameterized exponentiated odd log-logistic Weibull distribution, and obtain some of its structural properties.
Gabriela M. Rodrigues +3 more
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McDonald log-logistic distribution with an application to breast cancer data [PDF]
Journal of Statistical Theory and Applications (JSTA), 2014 We introduce a five-parameter continuous model, called the McDonald log-logistic distribution, to extend the two-parameter log-logistic distribution.
M.H. Tahir +3 more
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Topp–Leone odd log-logistic exponential distribution: Its improved estimators and applications
Anais da Academia Brasileira de Ciências, 2021 In this paper, a new three-parameter lifetime model called the Topp–Leone odd log-logistic exponential distribution is proposed. Its density function can be expressed as a linear mixture of exponentiated exponential densities and can be reversed-J shaped,
AHMED Z. AFIFY +2 more
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A Note on Topp-Leone Odd Log-Logistic Inverse Exponential Distribution
Journal of Statistical Theory and Applications (JSTA), 2020 The inverse exponential distribution is widely used in the field of reliability. In this article, we present a generalization of the inverse exponential distribution in formation of Topp-Leone odd log-logistic inverse exponential distribution. We provide
Salman Abbas +4 more
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Parametric Models in Survival Analysis for Lung Cancer Patients
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2021 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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Minimum K-S estimator using PH-transform technique [PDF]
Suan Sunandha Rajabhat University Journal of Science and Technology, 2016 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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On the correspondence from Bayesian log-linear modelling to logistic regression modelling with $g$-priors [PDF]
, 2017 Consider a set of categorical variables where at least one of them is binary. The log-linear model that describes the counts in the resulting contingency table implies a specific logistic regression model, with the binary variable as the outcome.
Papathomas, Michail
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Survival Analysis and Hazard of Log Logistic Distribution on Type I Censored Data Parametrically
Contemporary Mathematics and Applications (ConMathA), 2023 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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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 +5 more
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The Kumaraswamy Marshall-Olkin Log-Logistic Distribution with Application
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 +3 more
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