Multivariate analysis.
Overview
Works: | 110 works in 53 publications in 53 languages |
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Titles
The art of finding hidden risks = hidden regular variation in the 21st century /
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Spatiotemporal dynamics of meteorological and agricultural drought in China
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Generalized linear mixed models with applications in agriculture and biology
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Innovations in multivariate statistical modeling = navigating theoretical and multidisciplinary domains /
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Geometric Data Analysis = From Correspondence Analysis to Structured Data Analysis /
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Modern multivariate statistical techniques = Regression, Classification, and Manifold Learning /
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Applied statistics : = from bivariate through multivariate techniques /
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The analysis and interpretation of multivariate data for social scientists /
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Modern nonparametric, robust and multivariate methods = Festschrift in honour of Hannu Oja /
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Multivariate statistical process control = process monitoring methods and applications /
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Robustness and complex data structures = festschrift in honour of Ursula Gather /
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Advances in growth curve models = topics from the Indian Statistical Institute /
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Multivariate methods of representing relations in R for prioritization purposes = selective scaling, comparative clustering, collective criteria and sequenced sets /
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Multiple analyses in clinical trials = fundamentals for investigators /
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Multivariable modeling and multivariate analysis for the behavioral sciences
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Spectral clustering and biclustering = learning large graphs and contingency tables /
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Multivariate pattern recognition in chemometrics = illustrated by case studies /
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Statistical inference for models with multivariate t-distributed errors DUP_1
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Statistical monitoring of complex multivariate processes DUP_1 = with applications in industrial process control /
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Statistical inference for models with multivariate t-distributed errors
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Statistical monitoring of complex multivariate processes = with applications in industrial process control /
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Intelligent numerical methods II = applications to multivariate fractional Calculus /
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Multilevel modeling techniques and applications in institutional research /
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Multivariate density estimation = theory, practice, and visualization /
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Theoretical foundations of functional data analysis, with an introduction to linear operators
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Fractional and multivariable calculus = model building and optimization problems /
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Multivariate prediction, de Branges spaces, and related extension and inverse problems
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Applied statistics and multivariate data analysis for business and economics = a modern approach using SPSS, Stata, and Excel /
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