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Linear and Poisson models for genetic evaluation of tick resistance in cross-bred Hereford x Nellore cattle
(2013-04-15)
Cattle resistance to ticks is measured by the number of ticks infesting the animal. The model used for the genetic analysis of cattle resistance to ticks frequently requires logarithmic transformation of the observations. ...
Modeling grouped survival data with time-dependent covariates
(Taylor & Francis Inc, 2006-10-01)
In this article, proportional hazards and logistic models for grouped survival data were extended to incorporate time-dependent covariates. The extension was motivated by a forestry experiment designed to compare five ...
Fitting the frequency-dependent parameters in the Bergeron line model
(Elsevier B.V., 2014-12-01)
A new transmission line modeling - TLM is proposed based on the well-established Bergeron method. The conventional Bergeron model is characterized by the line representation through concentrated longitudinal and transversal ...
Fractional polynomial response surface models
(2005-03-01)
Second-order polynomial models have been used extensively to approximate the relationship between a response variable and several continuous factors. However, sometimes polynomial models do not adequately describe the ...
A New Class of Cure Rate Survival Models: Properties, Inference and Applications
(World Scientific Publ Co Pte Ltd, 2021-01-01)
We propose a new class of survival models for time-to-event data with a cure fraction. This new model is an extension of the promotion time cure rate model. Furthermore, we extend the model to the regression model to ...
A note on model uncertainty in linear regression
(Blackwell Publ Ltd, 2003-01-01)
We consider model selection uncertainty in linear regression. We study theoretically and by simulation the approach of Buckland and co-workers, who proposed estimating a parameter common to all models under study by taking ...
Subjective modeling decisions can significantly impact the simulation of flood and drought events
(Elsevier B.V., 2019)
© 2018 The Author(s)It is generally acknowledged in the environmental sciences that the choice of a computational model impacts the research results. In this study of a flood and drought event in the Swiss Thur basin, we ...
A Generalized Log-Normal Model for Grouped Survival Data
(Taylor & Francis Inc, 2010-01-01)
It is common to have experiments in which it is not possible to observe the exact lifetimes but only the interval where they occur. This sort of data presents a high number of ties and it is called grouped or interval-censored ...