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Multiple Correspondence Analysis and Related Methods

resource from which to learn its theory, applications, and implementation. Multiple Correspondence Analysis and Related Methods gives a state;

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Visualization and Verbalization of Data

Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical;

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four;

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An Introduction to Correspondence Analysis

researchers in improving their familiarity with the concepts, terminology, and application of several variants of correspondence analysis. The;

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Quantitative Methods in Archaeology Using R

); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster;

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Research Methods for Leisure and Tourism

qualitative and quantitative research methods, ensuring a balanced approach to data collection and analysis Practical guidance on conducting research;

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Cambridge Manuals in Archaeology

); multiple analysis of variance and discriminant analysis; principal components analysis; correspondence analysis; distances and scaling; and cluster;

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Multiple Factor Analysis by Example Using R

Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into;

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Textual Data Science with R

package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method;

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Textual Data Science with R

package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method;

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Correspondence Analysis

A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New;

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Applied Multivariate Statistical Analysis - Summaries of theory and Exercises solved

summaries, and exercises solved, on the following topics: Multiple Linear Regression, Principal Component Analysis (without and with Varimax;

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Exploratory Multivariate Analysis by Example Using R

components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading;

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Correspondence Analysis in Practice

versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA;

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Correspondence Analysis in Practice

versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA;

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Machine Learning in Medicine

Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional;

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Public Administration

can improve their analysis by focusing on the contextual particularities of their research problems and considering the use of multiple;

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Public Administration

can improve their analysis by focusing on the contextual particularities of their research problems and considering the use of multiple;

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Variational, Topological, and Partial Order Methods with Their Applications

Nonlinear functional analysis is an important branch of contemporary mathematics. It's related to topology, ordinary differential equations;

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Multiple Regression and Beyond

regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the;

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Multiple Regression and Beyond

regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the;

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Multiple Regression And Beyond

Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis, along with more complex;

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Nonlinear Principal Component Analysis and Its Applications

This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to;

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Statistical Methods in Psychiatry and Related Fields

Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated;

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Statistical Methods in Psychiatry and Related Fields

Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated;

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Statistical Data Analysis Based on the L1-Norm and Related Methods

importance of the development of theory, methods and applications related to the statistical data analysis based on the L1-norm.;

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