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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How to Get Away With Statistics: Gamification of Multivariate Statistics
Journal of Statistics and Data Science Education, 2021 In this article, we discuss our attempt to teach applied statistics techniques typically taught in advanced courses, such as clustering and principal component analysis, to a non-mathematical educated audience.
Jacopo Di Iorio, Simone Vantini
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Study on Rice Quality Evaluation Based on Multivariate Statistics
Shipin gongye ke-ji, 2022 Objective: To clarify the key physical and chemical indexes affecting the quality of rice, explore the relationship between sensory evaluation and physical and chemical test, and establish a simple and easy evaluation method of rice edible quality ...
Yijie WU +3 more
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Choosing Among Notions of Multivariate Depth Statistics [PDF]
Statistical Science, 2020 Classical multivariate statistics measures the outlyingness of a point by its Mahalanobis distance from the mean, which is based on the mean and the covariance matrix of the data.
K. Mosler, Pavlo Mozharovskyi
semanticscholar +1 more source
Optimizing Bull Semen Cryopreservation Media Using Multivariate Statistics Approaches
Animals, 2023 Cryo-injury reduces post-thaw semen quality. Extender components play a protective role, but existing experimental approaches do not elucidate interactions among extender components, semen samples, and post-thaw quality.
Ali Mokhtassi-Bidgoli +2 more
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MULTIVARIATE STATISTICAL ANALYSIS FOR ASSESSMENT OF THE RELATIONSHIPS BETWEEN BONE DENSITY, BIOGENIC ELEMENTS CONTENT, AND THE LEVEL OF OXIDATIVE STRESS IN OSTEOPOROTIC WOMEN [PDF]
Journal of IMAB, 2022 The aim of the present study is to reveal hidden relationships between bone density, biogenic elements content, and the level of oxidative stress of female patients with osteoporosis and osteopenia.
Radka Tomova +6 more
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TRANSFORMATIONS FOR MULTIVARIATE STATISTICS [PDF]
Econometric Theory, 2004 Summary: This paper derives transformations for multivariate statistics that eliminate asymptotic skewness, extending results of \textit{N. Niki} and \textit{S. Konishi} [Ann. Inst. Stat. Math. 38, 371--383 (1986; Zbl 0609.62075)]. Within the context of valid Edgeworth expansions for such statistics we first derive the set of equations that such a ...
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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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Legume Fingerprinting through Lipid Composition: Utilizing GC/MS with Multivariate Statistics
Foods, 2023 This study presents a tentative analysis of the lipid composition of 47 legume samples, encompassing species such as Phaseolus spp., Vicia spp., Pisum spp., and Lathyrus spp.
Marko Ilić +6 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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