Results 21 to 30 of about 44,938 (219)
Maximum likelihood and pseudo score approaches for parametric time-to-event analysis with informative entry times [PDF]
, 2014 We develop a maximum likelihood estimating approach for time-to-event Weibull regression models with outcome-dependent sampling, where sampling of subjects is dependent on the residual fraction of the time left to developing the event of interest ...
Bird, Sheila M. +2 more
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Parameters estimation and fatigue life prediction of sisal fibre reinforced foam concrete
Journal of Materials Research and Technology, 2022 Based on the Glivenko-Cantelli theorem and Weibull distribution functions, the fatigue life of foam concrete with different sisal fibre volume fraction (0–0.3% vol.) was performed. When the two-parameter Weibull function was selected, a linear regression
Jun Huang, Shichun Qiu, Denis Rodrigue
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Using the Weibull Accelerated Failure Time Regression Model to Predict Time to Health Events
Applied Sciences, 2023 Clinical prediction models are commonly utilized in clinical practice to screen high-risk patients. This enables healthcare professionals to initiate interventions aimed at delaying or preventing adverse medical events.
Enwu Liu, Ryan Yan Liu, Karen Lim
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Generating Survival Times to Simulate Cox Proportional Hazards Models [PDF]
, 2003 This paper discusses techniques to generate survival times for simulation studies regarding Cox proportional hazards models. In linear regression models, the response variable is directly connected with the considered covariates, the regression ...
Augustin, Thomas +2 more
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Survival modelling of teenage childbirth among Nigerian women
Ruhuna Journal of Science, 2020 Childbearing is an essential event in woman’s life when she neglects her education and career for motherhood. The main cause of population growth in Nigeria is teenage childbearing as reported by many researchers with no significant intervention to ...
O. M. Oladuti
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WEIBULL SEMIPARAMETRIC REGRESSION MODELS UNDER RANDOM CENSORSHIP [PDF]
JOURNAL OF ADVANCES IN MATHEMATICS, 2015 Semiparametric regression is concerned with the flexible combination of non-linear functional relationships in regression analysis. The main advantage of the semiparametric regression models is that any application benefits from regression analysis can also benefit from the semiparametric regression. In this paper, we derived a consistent estimator of
Mohamed Abd El-Monsef +2 more
openaire +1 more source
Prediction of remaining life of power transformers based on left truncated and right censored lifetime data [PDF]
, 2008 Prediction of the remaining life of high-voltage power transformers is an important issue for energy companies because of the need for planning maintenance and capital expenditures.
Hong, Yili +4 more
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Discrete Weibull regression for modelling football outcomes
International Journal of Business Intelligence and Data Mining, 2020 We propose the use of the discrete Weibull distribution for modeling football match results, as an alternative to existing Poisson and generalized Poisson models. The number of goals scored by the two teams playing a football match are regarded as a pairwise observation and are modelled first through two independent discrete Weibull variables, and then
openaire +2 more sources
A new extended log-Weibull regression: Simulations and applications
Hacettepe Journal of Mathematics and Statistics, 2021 The induction of one or more parameter(s) in parent distributions opened new doors for flexible modeling in modern distribution theory. Among well-established generalized (G) classes for flexible modeling, the exponentiated-G, Marshall-Olkin-G and odd log-logistic-G families offer induction of one additional parameter while the beta-G and Kumaraswamy-G
Gauss M. CORDEİRO +4 more
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Case Studies in Construction Materials, 2023 The compressive strength of normal-weight concrete can be well-described by the Weibull distribution, but there is a lack of research on the efficiency of the estimation methods employed for determining the Weibull distribution parameters.
Chi-Cong Vu, Hong-Hai Tran
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