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Admissible nested covariance models over spheres cross time
(Springer New York LLC, 2018)
Nested covariance models, defined as linear combinations of basic covariance functions, are very popular in many branches
of applied statistics, and in particular in geostatistics. A notorious limit of nested models is ...
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 Product Partition Model With Regression on Covariates
(AMER STATISTICAL ASSOC, 2011)
We propose a probability model for random partitions in the presence of covariates. In other words, we develop a model-based clustering algorithm that exploits available covariates. The motivating application is predicting ...
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 ...
Calibrating covariate informed product partition models
(2018)
Covariate informed product partition models incorporate the intuitively appealing notion that individuals or units with similar covariate values a priori have a higher probability of co-clustering than those with dissimilar ...
Measurement error models with nonconstant covariance matrices
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2002)
In this paper we consider measurement error models when the observed random vectors are independent and have mean vector and covariance matrix changing with each observation. The asymptotic behavior of the sample mean ...