Results 21 to 30 of about 100,255 (311)
The new family of distributions and applications in heteroscedastic regression analysis [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 First we introduce and study some general mathematical properties of a new generator of continuous distributions with two extra shape parameters called the odd generalized half-Cauchy family.
Gauss M. Cordeiro +3 more
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Mixed Effects Models with Censored Covariates, with Applications in HIV/AIDS Studies
Journal of Probability and Statistics, 2018 Mixed effects models are widely used for modelling clustered data when there are large variations between clusters, since mixed effects models allow for cluster-specific inference.
Lang Wu, Hongbin Zhang
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Models for Longitudinal Data with Censored Changepoints
Journal of the Royal Statistical Society Series C: Applied Statistics, 2004 SummaryIn longitudinal studies of biological markers, different individuals may have different underlying patterns of response. In some applications, a subset of individuals experiences latent events, causing an instantaneous change in the level or slope of the marker trajectory.
Jackson, Christopher H. +1 more
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Global Bahadur Representation For NonParametric Censored Regression Quantiles and its Applications [PDF]
, 2013 This paper is concerned with the nonparametric estimation of regression quantiles of a response variable that is randomly censored. Using results on the strong uniform convergence rate of U-processes, we derive a global Bahadur representation for a ...
Linton, Oliver +2 more
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Statistical Modeling and Estimation of Censored Pathloss Data [PDF]
IEEE Wireless Communications Letters, 2015 4 pages, 3 figures.
Carl Gustafson +3 more
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Geometry of an accelerated model with censored data
Journal of Computational and Applied Mathematics, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fode Zhang +2 more
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spBayesSurv: Fitting Bayesian Spatial Survival Models Using R
Journal of Statistical Software, 2020 Spatial survival analysis has received a great deal of attention over the last 20 years due to the important role that geographical information can play in predicting survival.
Haiming Zhou +2 more
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Identification of Panel Data Models with Endogenous Censoring [PDF]
SSRN Electronic Journal, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Khan, Shakeeb +2 more
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Animals, 2021 This study aimed to evaluate the impact of different proportions (i.e., 20%, 40%, 60% and 80%) of censored (CEN) or penalized (PEN) data in the prediction of breeding values (EBVs), genetic parameters, and computational efficiency for two longevity ...
Hinayah R. Oliveira +3 more
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Partially linear censored quantile regression [PDF]
, 2009 Censored regression quantile (CRQ) methods provide a powerful and flexible approach to the analysis of censored survival data when standard linear models are felt to be appropriate.
Portnoy, S., Neocleous, T.
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