Multivariate analysis.
概要
作品: | 280 作品在 112 項出版品 112 種語言 |
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書目資訊
Applied regression analysis and other multivariable methods /David G. Kleinbaum ... [et al.].
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Statistical analysis of extreme values :from insurance, finance, hydrology, and other fields /
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Multivariate Bayesian statistics :models for source separation and signal unmixing /
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Skew-elliptical distributions and their applications :a journey beyond normality /
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Statistical analysis :an interdisciplinary introduction to univariate & multivariate methods /
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Generalized inference in repeated measures :Exact methods in MANOVA and mixed models /
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Modern multivariate statistical techniquesRegression, Classification, and Manifold Learning /
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Statistical monitoring of complex multivariate processes :with applications in industrial process control /
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Spectral clustering and biclustering :learning large graphs and contingency tables /
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Spectral clustering and biclusteringlearning large graphs and contingency tables /
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Statistical monitoring of complex multivariate processeswith applications in industrial process control /
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Modern nonparametric, robust and multivariate methodsFestschrift in honour of Hannu Oja /
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Theoretical foundations of functional data analysis, with an introduction to linear operators
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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 economicsa modern approach using SPSS, Stata, and Excel /
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Multivariate data analysis for root cause analyses and time-of-flight secondary ion mass spectrometry
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An introduction to envelopes :dimension reduction for efficient estimation in multivariate statistics /
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Multivariate statistical process control :process monitoring methods and applications /
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Recent developments in multivariate and random matrix analysisFestschrift in honour of Dietrich von Rosen /
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High-dimensional covariance matrix estimationan introduction to random matrix theory /
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Advanced and multivariate statistical methods :practical application and interpretation.
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Innovations in multivariate statistical modelingnavigating theoretical and multidisciplinary domains /
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