Multivariate analysis.
Overview
Works: | 280 works in 112 publications in 112 languages |
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Titles
Methods for statistical data analysis of multivariate observations /
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Applied regression analysis and other multivariable methods /David G. Kleinbaum ... [et al.].
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Applied multivariate statistics in geohydrology and related sciences /
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Multivariate statistical modelling based on generalized linear models /
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Modern multivariate statistical analysis :a graduate course and handbook /
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Linear and graphical models :for the multivariate complex normal distribution /
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Statistical analysis of extreme values :from insurance, finance, hydrology, and other fields /
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Multivariate statistical modelling based on generalized linear models /
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Multivariate statistical modelling based on generalized linear models /
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Multilevel analysis :an introduction to basic and advanced multilevel modeling /
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Multiple analyses in clinical trials :fundamentals for investigators /
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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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The analysis and interpretation of multivariate data for social scientists /
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Multivariate density estimation :theory, practice, and visualization /
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Statistical analysis :an interdisciplinary introduction to univariate & multivariate methods /
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Exploratory analysis of spatial and temporal data :a systematic approach /
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Constrained statistical inference :inequality, order, and shape restrictions /
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Generalized inference in repeated measures :Exact methods in MANOVA and mixed models /
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Handbook of applied multivariate statistics and mathematical modeling /
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Multivariate analysis, design of experiments, and survey sampling /
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Modern multivariate statistical techniquesRegression, Classification, and Manifold Learning /
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Multiple analyses in clinical trials :fundamentals for investigators /
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Study design and statistical analysis :a practical guide for clinicians /
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Applied statistics :from bivariate through multivariate techniques /
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Introduction to multivariate statistical analysis in chemometrics /
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Multivariable modeling and multivariate analysis for the behavioral sciences /
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Multivariate methods of representing relations in R for prioritization purposesselective scaling, comparative clustering, collective criteria and sequenced sets /
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Multivariate statistics :high-dimensional and large-sample approximations /
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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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Multivariable modeling and multivariate analysis for the behavioral sciences
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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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Intelligent numerical methods IIapplications to multivariate fractional Calculus /
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Theoretical foundations of functional data analysis, with an introduction to linear operators
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Fractional and multivariable calculusmodel 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 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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Advanced statistics for testing assumed casual relationshipsmultiple regression analysis path analysis logistic regression analysis /
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Recent developments in multivariate and random matrix analysisFestschrift in honour of Dietrich von Rosen /
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Non-asymptotic analysis of approximations for multivariate statistics /
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Time-varying effect modeling for the behavioral, social, and health sciences
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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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Robust and multivariate statistical methodsfestschrift in honor of David E. Tyler /
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Generalized linear mixed models with applications in agriculture and biology
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Trends and challenges in categorical data analysisstatistical modelling and interpretation /
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