Results 21 to 30 of about 1,093,856 (281)
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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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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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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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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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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A spatial analysis of multivariate output from regional climate models [PDF]
, 2011 Climate models have become an important tool in the study of climate and climate change, and ensemble experiments consisting of multiple climate-model runs are used in studying and quantifying the uncertainty in climate-model output.
Cressie, Noel +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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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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New Algorithms for $M$-Estimation of Multivariate Scatter and Location [PDF]
, 2015 We present new algorithms for $M$-estimators of multivariate scatter and location and for symmetrized $M$-estimators of multivariate scatter. The new algorithms are considerably faster than currently used fixed-point and related algorithms. The main idea
Duembgen, Lutz +2 more
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