Multivariate analysis.
Overview
| Works: | 58 works in 34 publications in 34 languages | |
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Titles
The Chicago guide to writing about multivariate analysis[electronic resource] /
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Handbook of applied multivariate statistics and mathematical modeling[electronic resource] /
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Multivariate methods of representing relations in R for prioritization purposes[electronic resource] :selective scaling, comparative clustering, collective criteria and sequenced sets /
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Shearlets[electronic resource] :multiscale analysis for multivariate data /
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Introduction to multivariate statistical analysis in chemometrics[electronic resource] /
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Advances in multivariate statistical methods[electronic resource] /
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Multilevel analysis :an introduction to basic and advanced multilevel modeling /
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Statistical data analysis[electronic resource] :a practical guide /
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Mathematical tools for applied multivariate analysis[electronic resource] /
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Exploratory multivariate analysis by example using R[electronic resource] /
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Multivariate generalized linear mixed models using R[electronic resource] /
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Multivariable modeling and multivariate analysis for the behavioral sciences[electronic resource] /
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Spectral clustering and biclustering[electronic resource] :learning large graphs and contingency tables /
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Multi-indicator systems and modelling in partial order[electronic resource] /
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Statistical inference for models with multivariate t-distributed errors[electronic resource] /
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Statistical monitoring of complex multivariate processes[electronic resource] :with applications in industrial process control /
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Understanding the new statistics :effect sizes, confidence intervals, and meta-analysis /
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Multivariate statistics[electronic resource] :exercises and solutions /
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Modern nonparametric, robust and multivariate methods[electronic resource] :Festschrift in honour of Hannu Oja /
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Intelligent numerical methods II[electronic resource] :applications to multivariate fractional Calculus /
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Nonlinear mixture models[electronic resource] :a Bayesian approach /
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Methods and applications of longitudinal data analysis[electronic resource] /
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Multivariate density estimation[electronic resource] :theory, practice, and visualization /
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Theoretical foundations of functional data analysis, with an introduction to linear operators[electronic resource] /
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Matrix-based introduction to multivariate data analysis[electronic resource] /
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The essence of multivariate thinking[electronic resource] :basic themes and methods /
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Multivariate statistics :high-dimensional and large-sample approximations /
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Exploratory multivariate analysis by example using R[electronic resource] /
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Analysis of multivariate and high-dimensional data[electronic resource] /
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Multiresolution time domain scheme for electromagnetic engineering /
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Multiple imputation in practice[electronic resource] :with examples using IVEware /
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Study design and statistical analysis :a practical guide for clinicians /
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Subjects