Now showing items 31-40 of 40845
Bayesian transformation models for multivariate survival data
(John Wiley and SonsMalden, 2014-03)
In this paper, we propose a general class of Gamma frailty transformation models for multivariate survival data. The transformation class includes the commonly used proportional hazards and proportional odds models. The ...
Likelihood approximations and discrete models for tied survival data
(Marcel Dekker Inc, 2002-01-01)
Ties among event times are often recorded in survival studies. For example, in a two week laboratory study where event times are measured in days, ties are very likely to occur. The proportional hazards model might be used ...
Beta-binomial/gamma-poisson regression models for repeated counts with random parameters
(Brazilian Statistical Association, 2011-07)
Beta-binomial/Poisson models have been used by many authors to model multivariate count data. Lora and Singer [Stat. Med. 27 (2008) 3366-3381] extended such models to accommodate repeated multivariate count data with ...
Discrete modeling and experimental validation of the model of a cantilever flexible beam
Cantilevered beams are studied in many ways because they are simple and largely applicable in many engineering problems. This study shows the development of a discrete dynamic model for a flexible cantilever beam and the ...
Local influence in null intercept measurement error regression under a Student_t model
(Routledge Journals, Taylor & Francis LtdAbingdonInglaterra, 2005)
Assessment of photovoltaic performance models for system simulation
An essential stage in assessing the feasibility of a PV project is the energy yield prediction, which estimates the total energy production of a PV system at a specific site. Photovoltaic (PV) performance models are ...
Reducing the gap between experts' knowledge and data: the TOM4D methodology
(Elsevier Science, 2014-11)
Dynamic process modelling is generally accomplished from experts' knowledge through Knowledge Engineering (KE); however, the obtained models are sometimes deficient for interpreting the input data flow coming from the real ...
Longitudinal Poisson modeling: an application for CD4 counting in HIV-infected patients
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTDLONDON, 2010)
In this paper, we present different ofrailtyo models to analyze longitudinal data in the presence of covariates. These models incorporate the extra-Poisson variability and the possible correlation among the repeated counting ...
An evaluation of methods for modelling distribution of Patagonian insects
(Sociedad de Biología de Chile, 2009)