Multivariate analysis.
Overview
| Works: | 328 works in 62 publications in 62 languages | |
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Titles
Statistical inference in elliptically contoured and related distributions /
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Multivariate statistical modelling based on generalized linear models /
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JMP for basic univariate and multivariate statistics = a step-by-step guide /
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Geometric Data Analysis = From Correspondence Analysis to Structured Data Analysis /
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Micro-econometrics = methods of moments and limited dependent variables /
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Multivariate analysis : = techniques for educational and psychological research /
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Compositional data analysis in the geosciences : = from theory to practice /
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An introduction to multivariable analysis : = from vector to manifold /
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Multivariate geostatistics : = an introduction with applications /
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Generalized inference in repeated measures : = Exact methods in MANOVA and mixed models /
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Multivariate applications in substance use research : = new methods for new questions /
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Recent developments on structural equations models : = theory and application /
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Structural equation modeling with AMOS : = basic concepts, applications, and programming /
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Multivariate applications in substance use research = new methods for new questions /
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Symbolic data analysis : = conceptual statistics and data mining /
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Cram101 textbook outlines to accompany Multivariate data analysis, Hair and Anderson and Tatham and Black, 5th edition.
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Multivariate statistical analysis : = a high-dimensional approach /
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Multivariate behavioral research = the journal of the Society of Multivariate Experimental Psychology.. [Vol. 36. No. 2].
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Modern multivariate statistical techniques = Regression, Classification, and Manifold Learning /
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Survey sampling and multivariate analysis for social scientists and engineers /
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Multiple analyses in clinical trials = fundamentals for investigators /
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Structural equation modeling with Mplus : = basic concepts, applications, and programming /
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Constrained statistical inference : = inequality, order, and shape restrictions /
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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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The Essence of multivariate thinking : = basic themes and methods /
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Spectral clustering and biclustering = learning large graphs and contingency tables /
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Modern nonparametric, robust and multivariate methods = Festschrift in honour of Hannu Oja /
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Multivariate prediction, de Branges spaces, and related extension and inverse problems
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Multivariate data analysis for root cause analyses and time-of-flight secondary ion mass spectrometry
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Time-varying effect modeling for the behavioral, social, and health sciences
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Sparse estimation with math and python = 100 exercises for building logic /
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Advanced statistics for testing assumed casual relationships = multiple regression analysis path analysis logistic regression analysis /
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Risk Pooling to Mitigate Hydrology-Related Financial Losses for Water Utilities.
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Innovations in multivariate statistical modeling = navigating theoretical and multidisciplinary domains /
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The analysis and interpretation of multivariate data for social scientists /
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Longitudinal data with serial correlation : = a state-space approach /
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Multivariate density estimation : = theory, practice, and visualization /
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Multivariate statistics and probability : = essays in memory of Paruchuri R. Krishnaiah /
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Multivariate analysis of variance and repeated measures : = a practical approach for behavioural scientists /
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Multivariate statistical modelling based on generalized linear models /
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Multivariate dependencies : = models, analysis and interpretation /
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Linear and nonlinear models for the analysis of repeated measurements /
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Multivariate statistical modelling based on generalized linear models /
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Multivariate pattern recognition in chemometrics : = illustrated by case studies /
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Multivariate analysis techniques in social science research : = from problem to analysis /
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Applied multivariate statistics in geohydrology and related sciences /
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The interpretation of ecological data : = a primer on classification and ordination /
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Statistical multiple integration : = proceedings of a joint summer research conference held at Humboldt University, June 17-23, 1989 /
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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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Applied MANOVA and discriminant analysis / = Carl J. Huberty, Stephen Olejnik.
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Geometric data analysis = from correspondence analysis to structured data analysis /
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Multilevel modeling = methodological advances, issues, and applications /
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Handbook of applied multivariate statistics and mathematical modeling
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Spectral clustering and biclustering : = learning large graphs and contingency tables /
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Applied statistics : = from bivariate through multivariate techniques /
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Statistical monitoring of complex multivariate processes : = with applications in industrial process control /
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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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Extreme value modeling and risk analysis : = methods and applications /
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Introduction to multivariate analysis : = linear and nonlinear modeling /
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Intelligent numerical methods II = applications to multivariate fractional Calculus /
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Theoretical foundations of functional data analysis, with an introduction to linear operators
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Recent developments in multivariate and random matrix analysis = Festschrift in honour of Dietrich von Rosen /
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High-dimensional covariance matrix estimation = an introduction to random matrix theory /
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Fractional and multivariable calculus = model building and optimization problems /
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Statistical monitoring of complex multivariate processes = with applications in industrial process control /
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Robust and multivariate statistical methods = festschrift in honor of David E. Tyler /
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Trends and challenges in categorical data analysis = statistical modelling and interpretation /
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Generalized linear mixed models with applications in agriculture and biology
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The Use of Wavelet Transform-Based Methods to Analyze Variability in Hydrological Data, Multiscale Linkages to Large-Scale Climate Oscillations, and for Hydrological Record Extension.
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Intraocular Lens Biocompatibility: A Novel, Objective Approach to Understanding Posterior Capsular Opacification.
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Spatiotemporal dynamics of meteorological and agricultural drought in China
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The art of finding hidden risks = hidden regular variation in the 21st century /
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Directional and multivariate statistics = a volume in honour of Ashis Sengupta /
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