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Covariances with OWA operators and Bonferroni means
(Springer, 2020)
The covariance is a statistical technique that is widely used to measure the dispersion between two sets of elements. This work develops new covariance measures by using the ordered weighted average (OWA) operator and ...
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 ...
Using Spatial Covariance Function for Antitrust Market DelineationUsing Spatial Covariance Function for Antitrust Market Delineation
(Sociedade Brasileira de Econometria, 2009)
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 ...
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 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 ...
Assessing the estimation of nearly singular covariance matrices for modeling spatial variables
(Wiley, 2023)
© 2023, Institute of Mathematical Statistics. All rights reserved.Spatial analysis commonly relies on the estimation of a co-variance matrix associated with a random field. This estimation strongly impacts the prediction ...
Análisis de covarianzas con variables secundarias correlacionadas espacialmente
(Universidad Nacional de Colombia, 2008)
Los avances en agricultura de precisión permiten a los investigadores obtener datos con más frecuencia y en detalle. Por ejemplo, es común colectar “en el transcurso” datos como lecturas de electro-conductividad del suelo. ...