Results 31 to 40 of about 44,938 (219)
Weibull Regression and Stratified Cox Regression in Modelling Exclusive Breastfeeding Duration
Journal of Physics: Conference Series, 2021 Abstract Survival analysis has three approaches, parametric, non-parametric, and semi-parametric. The parametric model requires the distribution of survival time to be known. Weibull regression is one of the most popular forms of parametric approaches with advantages in flexibility and simplicity of hazard functions and survival ...
Ita Wulandari +2 more
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An In-Depth Review of the Weibull Model with a Focus on Various Parameterizations
Mathematics, 2023 The Weibull distribution is a versatile probability distribution widely applied in modeling the failure times of objects or systems. Its behavior is shaped by two essential parameters: the shape parameter and the scale parameter.
Yolanda M. Gómez +4 more
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Bias of Maximum-Likelihood estimates in logistic and Cox regression models: A comparative simulation study [PDF]
, 2003 Parameter estimates of logistic and Cox regression models are biased for finite samples. In a simulation study we investigated for both models the behaviour of the bias in relation to sample size and further parameters.
Bender, R. +4 more
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Journal of Forest Science, 2008 Weibull distribution was used to fit tree diameter data collected from 86 sample plots located in Chinese pine stand in Beijing. To estimate the Weibull distribution parameters, three methods [namely maximum likelihood estimation method (MLE), method of ...
Y. Lei
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Fixed bed adsorption of chromium and the Weibull function
Journal of Hazardous Materials Letters, 2021 Fixed bed adsorption of toxic metal ions such as chromium is a research area of current interest. Mathematical models are routinely used to summarize breakthrough results of metal ions, which often display varying degrees of curve asymmetry.
Khim Hoong Chu
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Study on Dynamic Prediction of Mining Subsidence with Segmented Weibull Time Function
Taiyuan Ligong Daxue xuebao, 2021 The maximum subsidence speed moment τ of the surface point was set as cut-off point to divide the dynamic subsidence process into two phases of approximate symmetry.
Yongsheng ZHANG +3 more
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Bayesian correction for covariate measurement error: a frequentist evaluation and comparison with regression calibration [PDF]
, 2016 Bayesian approaches for handling covariate measurement error are well established, and yet arguably are still relatively little used by researchers. For some this is likely due to unfamiliarity or disagreement with the Bayesian inferential paradigm.
Bartlett, Jonathan W., Keogh, Ruth H.
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BarekengThis article presents a comprehensive study of the factors that influence the length of study data of undergraduate students at FMIPA UNIB class 2018 and 2019.
Ramya Rachmawati +2 more
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Analysis of significant factors on cable failure using the Cox proportional hazard model [PDF]
, 2014 This paper proposes the use of the Cox proportional hazard model (Cox PHM), a statistical model, for the analysis of early-failure data associated with power cables.
Alkali, Babakalli +7 more
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Interval-Censored Regression with Non-Proportional Hazards with Applications
Stats, 2023 Proportional hazards models and, in some situations, accelerated failure time models, are not suitable for analyzing data when the failure ratio between two individuals is not constant. We present a Weibull accelerated failure time model with covariables
Fábio Prataviera +4 more
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