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Optimización de modelos poblacionales no lineales de efectos mixtos mediante cómputo evolutivo.
(Carlos Abel Sepúlveda Álvarez, 2016-10-13)
Utilizar modelos no lineales de efectos mixtos para el desarrollo de modelos farmacocinéticos poblacionales es una de las metodologías que más se aplican cuando se requiere caracterizar la disposición de un fármaco en el ...
A bivariate generalized exponential distribution derived from copula functions in the presence of censored data and covariates
(2015-01-01)
In this paper, we introduce a Bayesian analysis for a bivariate generalized exponential distribution in the presence of censored data and covariates derived from Copula functions. The generalized exponential distribution ...
Covariance matrix formula for Birnbaum-Saunders regression models
(TAYLOR & FRANCIS LTD, 2011)
The Birnbaum-Saunders regression model is commonly used in reliability studies. We derive a simple matrix formula for second-order covariances of maximum-likelihood estimators in this class of models. The formula is quite ...
Testing equality between several populations covariance operators
(Springer Heidelberg, 2018-08)
In many situations, when dealing with several populations, equality of the covariance operators is assumed. An important issue is to study whether this assumption holds before making other inferences. In this paper, we ...
Using Spatial Covariance Function for Antitrust Market DelineationUsing Spatial Covariance Function for Antitrust Market Delineation
(Sociedade Brasileira de Econometria, 2009)
Using spatial covariance function for antitrust market delineation
(Sociedade Brasileira de Econometria, 2009-05-01)
In this paper, an estimation of a Spatial Covariance Function was proposed for determining the relevant geographic market for a merger. This methodology was applied to a proposed merger between two competing Brazilian ...
Nonparametric multivariate breakpoint detection for the means, variances, and covariances of a discrete time stochastic process
(Taylor & Francis Ltd, 2012)
We introduce a nonparametric breakpoint detection method for the means and covariances of a multivariate discrete time stochastic process. Breakpoints are defined as left or right endpoints of maximal intervals of local ...
Influence diagnostics in Gaussian spatial-temporal linear models with separable covariance
(2023)
In recent decades, there has been a growing interest in modeling spatial-temporal data, which can be found in many fields including geoscience, meteorology and ecology, among many others. The spatial-temporal dependence ...