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Multivariate analysis
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The concept ** Multivariate analysis** represents the subject, aboutness, idea or notion of resources found in **University of San Diego Libraries**.

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Multivariate analysis
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The concept

**Multivariate analysis**represents the subject, aboutness, idea or notion of resources found in**University of San Diego Libraries**.- Label
- Multivariate analysis

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- A beginner's guide to structural equation modeling
- A first course in structural equation modeling
- A primer of multivariate statistics
- Advanced and multivariate statistical methods : practical application and interpretation
- Advanced and multivariate statistical methods : practical application and interpretation
- Advanced structural equation modeling : issues and techniques
- Advances in multivariate statistical methods
- An introduction to multivariate statistical analysis
- Analyzing multivariate data
- Applied multivariate analysis
- Applied multivariate statistics for the social sciences
- Applied multivariate statistics in geohydrology and related sciences
- Author cocitation analysis : quantitative methods for mapping the intellectual structure of an academic discipline
- Beyond beta : other continuous families of distributions with bounded support and applications
- Categorical data analysis
- Categorical data analysis
- Categorical data analysis by example
- Categorical longitudinal data : log-linear panel, trend, and cohort analysis
- Child personality structure and development : multivariate theory and research
- Classical orthogonal polynomials of a discrete variable
- Compositional data analysis : theory and applications
- Contemporary multivariate analysis and design of experiments
- Coordinate-free multivariable statistics : an illustrated geometric progression from Halmos to Gauss and Bayes
- Data reduction and error analysis for the physical sciences
- Discrete multivariate analysis: theory and practice
- Evidence-based health care management : multivariate modeling approaches
- Exploratory data analysis with MATLAB
- Functional data analysis
- Functional data analysis
- Geometric morphometrics for biologists : a primer
- Geostatistical analysis of compositional data
- Growth curve modeling : theory and applications
- Handbook of statistical analysis and data mining applications
- High-dimensional covariance estimation
- Introduction to bivariate and multivariate analysis
- Linear probability, logit and probit models
- Mathematical tools for applied multivariate analysis
- Methods of multivariate analysis
- Methods of multivariate analysis
- Micro-Econometrics for Policy, Program and Treatment Effects
- Modelling and analysis of compositional data
- Modelling frequency and count data
- Models for discrete data
- Models for repeated measurements
- Morphometric tools for landmark data : geometry and biology
- Multi-criterion decision procedures and the assessment of police department performance
- Multilevel modeling : methodological advances, issues, and applications
- Multilevel modelling of health statistics
- Multiparametric statistics
- Multiscale analysis and nonlinear dynamics : from genes to the brain
- Multiscale analysis of deformation and failure of materials
- Multivariable analysis : a practical guide for clinicians and public health researchers
- Multivariable analysis : an introduction
- Multivariable predictive control : applications in industry
- Multivariate analysis for the biobehavioral and social sciences
- Multivariate analysis in educational research : Applications of the multivariance program
- Multivariate analysis in marketing
- Multivariate analysis of variance
- Multivariate analysis techniques in social science research : from problem to analysis
- Multivariate and probabilistic analyses of sensory science problems
- Multivariate applications in substance use research : new methods for new questions
- Multivariate applications in the social sciences
- Multivariate characteristic and correlation functions
- Multivariate data analysis
- Multivariate data analysis : an introduction
- Multivariate density estimation : theory, practice, and visualization
- Multivariate environmental statistics
- Multivariate generalized linear mixed models using R
- Multivariate geostatistics : an introduction with applications
- Multivariate methods for market and survey research
- Multivariate statistical analysis
- Multivariate statistical analysis : concepts and economic applications
- Multivariate statistical methods : an introduction
- Multivariate statistics : a vector space approach
- Multivariate statistics for nursing research
- New developments and techniques in structural equation modeling
- Public program analysis : a new categorical data approach
- Quantitative data analysis : an introduction
- Reading and understanding more multivariate statistics
- Reading and understanding multivariate statistics
- Sex and advantage : a comparative, macro-structural theory of sex stratification
- Shape-preserving approximation by real and complex polynomials
- Simulating copulas : stochastic models, sampling algorithms and applications
- Spectral clustering and biclustering : learning large graphs and contingency tables
- Statistical monitoring of complex multivariate processes : with applications in industrial process control
- Structural equation modeling with Mplus : basic concepts, applications, and programming
- Survey sampling and multivariate analysis for social scientists and engineers
- Techniques and applications of hyperspectral image analysis
- The Chicago guide to writing about multivariate analysis
- The analysis of cross-classified categorical data
- The interpretation of ecological data : a primer on classification and ordination
- The multivariate normal distribution
- The multivariate social scientist : introductory statistics using generalized linear models
- The population-sample decomposition method : a distribution-free estimation technique for minimum distance parameters
- Theory and application of the linear model
- Understanding multivariate research : a primer for beginning social scientists
- Understanding the new statistics : effect sizes, confidence intervals, and meta-analysis
- Using multivariate statistics
- Vertical density representation and its applications

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.sandiego.edu/resource/QKnzYwUx9V8/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.sandiego.edu/resource/QKnzYwUx9V8/">Multivariate analysis</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.sandiego.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.sandiego.edu/">University of San Diego Libraries</a></span></span></span></span></div>`