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Reduction of Models in the Presence of Nuisance Parameters
(UNIV NAC COLOMBIA, DEPT ESTADISTICA, 2009)
In many statistical inference problems, there is interest in estimation of only some elements of the parameter vector that defines the adopted model. In general, such elements are associated to measures of location and the ...
Characterization of parameters with a mixed bias property
(Oxford University Press, 2021-03)
In this article we study a class of parameters with the so-called ‘mixed bias property’. For parameters with this property, the bias of the semiparametric efficient one step estimator is equal to the mean of the product ...
Eliminação de parâmetros perturbadores na estimação de tamanhos populacionais
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2010-01-15)
In this study, we used the capture-recapture procedure to estimate the size of a closed population. We analysed three di_erent statistics models. For each one of these models we determined - through several methods of ...
Improved likelihood inference for the shape parameter in Weibull regression
(TAYLOR & FRANCIS LTD, 2008)
We obtain adjustments to the profile likelihood function in Weibull regression models with and without censoring. Specifically, we consider two different modified profile likelihoods: (i) the one proposed by Cox and Reid ...
Informed total-error-minimizing (item) priors: interpretable cosmological parameter constraints despite complex nuisance effects
(Universidad de Chile, 2022)
Modern physical cosmology aims to understand the physics of the universe, i.e., the kinematical and dynamical processes, the contents, the structure, and the cosmic origin and evolution. To fully understand it, the ...
Robust estimation in single-index models when the errors have a unimodal density with unknown nuisance parameter
(Springer Heidelberg, 2020-06)
This paper develops a robust profile estimation method for the parametric and nonparametric components of a single-index model when the errors have a strongly unimodal density with unknown nuisance parameter. We derive ...
Eliminação de parâmetros perturbadores em um modelo de captura-recaptura
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2011-11-18)
The capture-recapture process, largely used in the estimation of the number of elements of animal population, is also applied to other branches of knowledge like Epidemiology, Linguistics, Software reliability, Ecology, ...
Reducción de modelos en la presencia de parámetros de perturbación
(Universidad Nacional de Colombia, 2009)
En muchos problemas de inferencia estadística existe interés en estimar solamente algunos elementos del vector de parámetros que definen el modelo adoptado. Generalmente, esos elementos están asociados a las medidas de ...
Decision theory applied to a linear panel data model
(Wiley-Blackwell Publishing, Inc, 2009-01)
This paper applies some general concepts in decision theory to a linear panel data model. A simple version of the model is an autoregression with a separate intercept for each unit in the cross section, with errors that ...
Criterios de optimalidad para los modelos con efectos aleatorios
(Universidad Nacional de Colombia, 2009)
En el contexto de modelos lineales, los criterios de optimalidad se construyen para los modelos que incluyen efectos aleatorios. Tradicionalmente los criterios basados en la información asumen que todos los efectos en el ...