Results 11 to 20 of about 1,085,486 (259)
Multivariate order statistics via multivariate concomitants [PDF]
, 2009 Let X¯1,…,X¯n denote a set of n independent identically distributed k-dimensional absolutely continuous random variables. A general class of complete orderings of such random vectors is supplied by viewing them as concomitants of an auxiliary random ...
Barry C. Arnold +14 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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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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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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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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Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics
Remote Sensing, 2019 Wildfires are one of the most common natural hazards worldwide. Here, we compared the capability of bivariate and multivariate models for the prediction of spatially explicit wildfire probability across a fire-prone landscape in the Zagros ecoregion ...
Abolfazl Jaafari +3 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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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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Sampling from Linear Multivariate Densities [PDF]
, 2009 It is well known that the generation of random vectors with non-independent components is difficult. Nevertheless, we propose a new and very simple generation algorithm for multivariate linear densities over point-symmetric domains.
Hörmann, Wolfgang, Leydold, Josef
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