Results 21 to 30 of about 551,036 (333)
Geochemistry, Geophysics, Geosystems, 2013 Multivariate statistical treatments of large data sets in sedimentary geochemical and other fields are rapidly becoming more popular as analytical and computational capabilities expand.
Nicklas G. Pisias +2 more
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The Depositional Record, 2021 Ordination is the name given to a group of methods used to analyse multiple variables without preceding hypotheses. Over the last few decades, the use of these methods in Earth science in general, and notably in analyses of sedimentary sources, has ...
Or M. Bialik +2 more
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Antioxidants, 2021 Pumpkin is considered a healthy and functional food. The consumption of pumpkins and pumpkin-based foods has been shown to confer several beneficial effects on human health due to their antioxidant capacity and terpenoid content. Consequently, this study
Milorad Miljić +8 more
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TRANSFORMATIONS FOR MULTIVARIATE STATISTICS [PDF]
Econometric Theory, 2004 This paper derives transformations for multivariate statistics that eliminate asymptotic skewness, extending the results of Niki and Konishi (1986, Annals of the Institute of Statistical Mathematics 38, 371-383). Within the context of valid Edgeworth expansions for such statistics we first derive the set of equations that such a transformation must ...
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Multivariate Shortfall and Divergence Risk Statistics
Entropy, 2019 The aim of this paper is to construct two new classes of multivariate risk statistics, and to study their properties. We, first, introduce the multivariate shortfall risk statistics and multivariate divergence risk statistics.
Haiyan Song +3 more
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Descent representations and multivariate statistics [PDF]
Transactions of the American Mathematical Society, 2004 Combinatorial identities on Weyl groups of typesAAandBBare derived from special bases of the corresponding coinvariant algebras. Using the Garsia-Stanton descent basis of the coinvariant algebra of typeAAwe give a new construction of the Solomon descent representations.
Adin, RM +2 more
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Application of Multivariate-Rank-Based Techniques in Clustering of Big Data
Vikalpa, 2018 Executive Summary Very large or complex data sets, which are difficult to process or analyse using traditional data handling techniques, are usually referred to as big data.
Pritha Guha
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Investigation of comorbidities of COVID-19 patients with hepatosteatosis using latent class analysis
Frontiers in Public Health, 2022 IntroductionCoronavirus Disease 2019 (COVID-19) disease first appeared in Wuhan, China in December 2019. Subsequently, the pandemic spread rapidly throughout the entire world. The number of people who died from COVID-19 is rising daily due to the growing
Ozge Pasin +2 more
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A Comparative Analysis of Business and Economics Researchers in the Visegrad Group of Countries, Austria and Romania Based on the Data Obtained from SciVal and Scopus [PDF]
Statistika: Statistics and Economy Journal, 2023 The aim of the paper is to compare the performance of economic researchers in Austria, Romania and the Visegrad 4 (Czech Republic, Hungary, Poland, and Slovakia) using performance indicators of researchers from the Scopus and SciVal databases.
Imre Dobos, Péter Sasvári
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Discussion of 'Multivariate Fisher's independence test for multivariate dependence' [PDF]
arXiv, 2022 Invited discussion for Biometrika of 'Multivariate Fisher's independence test for multivariate dependence' by Gorsky and Ma (2022).
arxiv