CHEMOSTAT, UM SOFTWARE GRATUITO PARA ANÁLISE EXPLORATÓRIA DE DADOS MULTIVARIADOS
Química Nova, 2015 The objective of this work was to develop a free access exploratory data analysis software application for academic use that is easy to install and can be handled without user-level programming due to extensive use of chemometrics and its association ...
Gilson A. Helfer +5 more
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Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis [PDF]
, 2013 A set of silver coins from the collection of Déri Museum Debrecen (Hungary) was examined by X-ray fluorescent elemental analysis with the aim to assign the coins to different groups with the best possible precision based on the acquired chemical ...
Elek, János +3 more
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Multivariate Comparison of Cytokine Profiles for Normal- and Low-Bone-Density Subjects
Diagnostics, 2019 Osteoporosis is a serious worldwide public health concern. The role of the immune system in the onset of osteoporosis in postmenopausal women is an area of current research.
Kamaludin Dingle, Fawaz Azizieh
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Consumer preferences and purchasing rationales for wine: a multivariate data analysis
New Medit, 2020 The wine market is very heterogeneous and complex, being the knowledge of the behaviour and attitudes of consumers a key tool to design efficient marketing plans, namely in countries that are traditionally wine producers and consumers, such as Portugal ...
Carla Ferreira +5 more
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Comparative Metabolomics Analysis of Weedy Rice (Oryza spp.) across Peninsular Malaysia
Agriculture, 2023 Weedy rice (Oryza spp.) is a notorious weed that invades paddy fields and hampers the rice’s production and yield quality; thus, it has become a major problem for rice farmers worldwide. Weedy rice comprises a diverse morphology and phenotypic variation;
Intan Filzah Mahmod +5 more
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Multivariate data analysis: The French way
, 2008 This paper presents exploratory techniques for multivariate data, many of them well known to French statisticians and ecologists, but few well understood in North American culture.
Holmes, Susan
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Modeling of Biomass Gasification: From Thermodynamics to Process Simulations
Energies, 2023 Biomass gasification has obtained great interest over the last few decades as an effective and trustable technology to produce energy and fuels with net-zero carbon emissions.
Vera Marcantonio +3 more
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Multivariate Fitting and the Error Matrix in Global Analysis of Data [PDF]
, 2000 When a large body of data from diverse experiments is analyzed using a theoretical model with many parameters, the standard error matrix method and the general tools for evaluating errors may become inadequate.
A. D. Martin +12 more
core +2 more sources
Some intriguing properties of Tukey's half-space depth [PDF]
, 2011 For multivariate data, Tukey's half-space depth is one of the most popular depth functions available in the literature. It is conceptually simple and satisfies several desirable properties of depth functions.
Chaudhuri, Probal +2 more
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A whitening approach to probabilistic canonical correlation analysis for omics data integration
BMC Bioinformatics, 2019 Background Canonical correlation analysis (CCA) is a classic statistical tool for investigating complex multivariate data. Correspondingly, it has found many diverse applications, ranging from molecular biology and medicine to social science and finance.
Takoua Jendoubi, Korbinian Strimmer
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