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Multivariate analysis to research innovation complementarities
(Taylor & Francis, 2017-10)
It is widely recognized that orthodox economics is obsessed with econometrics tools. However, econometrics techniques have a limited capacity to deal with qualitative variables coming from surveys. This paper presents a ...
Evaluación multivariable de nutrientes en los sedimentos de la laguna “Santa Teresita del cantón Guano” 2016 -2017.
(Escuela Superior Politécnica de Chimborazo, 2017-10)
The objective was to analyze, correlate and evaluate the nutrients (nitrites, nitrates, potassium, phosphorus, nitrogen, pH and organic matter) of the sediments of the "Santa Teresita lagoon of the Guano Canton” through ...
On influence diagnostics in elliptical multivariate regression models with equicorrelated random errors
(Amsterdam, 2014-01)
In this paper we discuss estimation and diagnostic procedures in elliptical multivariate regression models with equicorrelated random errors. Two procedures are proposed for the parameter estimation and the local influence ...
On influence diagnostics in elliptical multivariate regression models with equicorrelated random errors
(ELSEVIER SCIENCE BV, 2014)
In this paper we discuss estimation and diagnostic procedures in elliptical multivariate regression models with equicorrelated random errors. Two procedures are proposed for the parameter estimation and the local influence ...
The usefulness of robust multivariate methods: A case study with the menu items of a fast food restaurant chain
(Universidade Federal de Santa Maria, 2020)
NITRATE DETERMINATION IN CHILEAN CALICHE SAMPLES BY UV-VISIBLE ABSORBANCE MEASUREMENTS AND MULTIVARIATE CALIBRARON
(Sociedad Chilena de Química, 2009)
Geochemical characterization of heavy metal contaminated area using multivariate factorial kriging
(Springer, 2008-07-01)
This paper describes a geostatistical method, known as factorial kriging analysis, which is well suited for analyzing multivariate spatial information. The method involves multivariate variogram modeling, principal component ...