Results 21 to 30 of about 62,887 (245)
Guided Censored Regression [PDF]
Scandinavian Journal of Statistics, 2014 AbstractParametrically guided non‐parametric regression is an appealing method that can reduce the bias of a non‐parametric regression function estimator without increasing the variance. In this paper, we adapt this method to the censored data case using an unbiased transformation of the data and a local linear fit.
Talamakrouni, Majda +2 more
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Reliability and Inference for Multi State Systems: The Generalized Kumaraswamy Case
Mathematics, 2021 Semi-Markov processes are typical tools for modeling multi state systems by allowing several distributions for sojourn times. In this work, we focus on a general class of distributions based on an arbitrary parent continuous distribution function G with ...
Vlad Stefan Barbu +2 more
doaj +1 more source
Health-related factors on tobacco consumption in Turkey [PDF]
Ciência Rural, 2020 : In this study, we analyzed the role of individuals’ health-related factors along with socio-demographic and economic characteristics on both the likelihood of tobacco consumption and quantity demanded levels using two competitive econometric methods ...
Nuray Demir +3 more
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Fiducial Inference on the Right Censored Birnbaum–Saunders Data via Gibbs Sampler
Stats, 2021 In this article, we implement a flexible Gibbs sampler to make inferences for two-parameter Birnbaum–Saunders (BS) distribution in the presence of right-censored data.
Kalanka P. Jayalath
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Estimation of stochastic traffic capacity using extreme value theory and censoring: A case study in Salem, New Hampshire [PDF]
Archives of Transport, 2018 In this work, we introduce a method of estimating stochastic freeway capacity using elements of both extreme value theory and survival analysis. First, we define capacity data, or estimates of the capacity of the roadway, as the daily maximum flow values.
Eric M. LAFLAMME, Paul J. OSSENBRUGGEN
doaj +1 more source
A Note on Weibull Parameter Estimation with Interval Censoring Using the EM Algorithm
Mathematics, 2023 In many engineering applications, it is often the case that the observations are only available in interval form. In this note, by using the expectation-maximization (EM) algorithm, the parameter estimation of the Weibull distribution with interval ...
Chanseok Park
doaj +1 more source
Censored partial regression [PDF]
Biostatistics, 2003 In this work we study the effect of several covariates on a censored response variable with unknown probability distribution. A semiparametric model is proposed to consider situations where the functional form of the effect of one or more covariates is unknown, as is the case in the application presented in this work.
Orbe, Jesus +2 more
openaire +3 more sources
MathematicsIn complex reliability applications, it is common for the failure of an individual or an item to be attributed to multiple causes known as competing risks.
Refah Alotaibi +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman +17 more
wiley +1 more source
Reliability Analysis of Improved Type-II Adaptive Progressively Inverse XLindley Censored Data
AxiomsThis study offers a newly improved Type-II adaptive progressive censoring with data sampled from an inverse XLindley (IXL) distribution for more efficient and adaptive reliability assessments.
Refah Alotaibi +2 more
doaj +1 more source