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Multivariate Quantile Impulse Response Functions
(Wiley Blackwell Publishing, Inc, 2019-08)
A reduced form multivariate quantile autoregressive model is developed to study heterogeneity in the effects of macroeconomic shocks. This framework is used for forecasting and for constructing quantile impulse response ...
Multivariate statistical analysis of morpho-anatomical data of nine sect. Caulopterae species (Baccharis – Asteraceae) used in folk medicine
(Elsevier, 2018-07)
Baccharis species belonging to sect. Caulopterae are difficult to identify. Most countries are controlling the quality of herbal medicines destined for the internal market or export. “Carquejas” are used arbitrarily for ...
Fluorescence spectroscopy and multivariate analysis as a greener monitoring tool: characterization of the curing kinetics of bioinspired polymers
(Taylor & Francis, 2015-09)
The photo-induced curing kinetics of bioinspired copolymers vinylbenzyl thymine (VBT) and vinylphenyl sulfonatewas studied usingfluorescence spectroscopy in combination with multivariate analysis. Fluorescence spectroscopyenables ...
Estimates of MM type for the multivariate linear model
(Elsevier Inc, 2011-10)
We propose a class of robust estimates for multivariate linear models. Based on the approach of MM-estimation (Yohai 1987, [24]), we estimate the regression coefficients and the covariance matrix of the errors simultaneously. ...
Assessment of the effect of silicon on antioxidant enzymes in cotton plants by multivariate analysis
(American Chemical Society, 2013-11)
Silicon has been extensively researched in relation to the response of plants to biotic and abiotic stress, as an element triggering defense mechanisms which activate the antioxidant system. Furthermore, in some species, ...
Multivariate analysis of organic acids in fermented food from reversed-phase high-performance liquid chromatography data
(Elsevier Science, 2018-02)
Multivariate calibration coupled to RP-HPLC with diode array detection (HPLC-DAD) was applied to the identification and the quantitative evaluation of the short chain organic acids (malic, oxalic, formic, lactic, acetic, ...
Determination of grated hard cheeses adulteration by near infrared spectroscopy (NIR) and multivariate analysis
(Elsevier, 2020-05)
Cheese is a dairy product of massive consumption and is commonly commercialised as grated cheese. Adulteration of cheese reduces its quality and consequently, decreases its nutritional value. This work proposes an analytical ...
Insular functional alterations in emotional processing of schizophrenia patients revealed by Multivariate Pattern Analysis fMRI
(Pergamon-Elsevier Science Ltd, 2020-11)
Emotion perception is impaired in schizophrenia patients (SP) and related to reduced social skills performance. There is a remarkable variability across subjects for functional neuroimaging alterations related to this ...
Use of wood resources in central Argentina: A multivariate approach for the study of phytogeography and culture
(University of Hawaii at Manoa, 2015-12)
Changes in land use and forest loss determine not only the loss of biodiversity, but the associated traditional ecological knowledge. Thus, knowing the several uses of forest resources by rural communities might help in ...
Multivariate statistical analysis for estimating surface water quality in reservoirs
(Indercience Publishers, 2018-02)
Regular water quality monitoring programs are an important aspect of water management. Different multivariate statistical techniques were applied for interpretation and evaluation of the data matrix obtained during a six ...