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Graphical Tools for the Exploration of Multivariate Categorical Data

Graphical Tools for the Exploration of Multivariate Categorical Data is een boek van Heike Hofmann;

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Visualizing Categorical Data

graphical methods existed for categorical data. In this innovative book, the author presents many aspects of the relationships among variables, the;

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Multivariate Statistics

The authors have cleverly used exercises and their solutions to explore the concepts of multivariate data analysis. Broken down into three;

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Graphical Models for Categorical Data

For advanced students of network data science, this compact account covers both well-established methodology and the theory of models;

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Multivariate Statistical Methods in Quality Management

introduces the fundamentals and then demonstrates how to: *Choose the best method for each data set * Make complex data intelligible with;

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Multivariate Statistics

to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for;

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Introduction to Multivariate Statistical Analysis in Chemometrics

Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical;

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Analysis of Incomplete Multivariate Data

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions;

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Analysis of Incomplete Multivariate Data

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions;

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Exploratory Multivariate Analysis by Example Using R

hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables;

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Exploratory Multivariate Analysis by Example Using R

hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within;

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Graphics for Statistics and Data Analysis with R

Praise for the First Edition The main strength of this book is that it provides a unified framework of graphical tools for data analysis;

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Graphics for Statistics and Data Analysis with R

Praise for the First Edition The main strength of this book is that it provides a unified framework of graphical tools for data;

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Discrete Data Analysis with R

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and;

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Bayesian Models for Categorical Data

The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology;

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Advances In Multivariate Statistical Methods

include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys;

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Interactive Web-Based Data Visualization with R, plotly, and shiny

web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web;

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Interactive Web-Based Data Visualization with R, plotly, and shiny

web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web;

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Multivariate Humanities

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory;

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Multivariate Humanities

This case study-based textbook in multivariate analysis for advanced students in the humanities emphasizes descriptive, exploratory;

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Applied Multivariate Statistics for the Social Sciences

/condition; and added exercises on categorical data analysis and the answers for the more difficult problems. There is a 3.5 disk (free to those;

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Smoothing of Multivariate Data

An applied treatment of the key methods and state-of-the-art tools for visualizing and understanding statistical data Smoothing;

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The Multivariate Social Scientist

explain the commonalities and relationships between methods that include both the analysis of categorical and continuous data.;

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Categorical Data Analysis

Praise for the Second Edition A must-have book for anyone expecting to do research and/or applications in categorical data analysis;

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An Introduction to Applied Multivariate Analysis with R

variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another;

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Multilevel Modeling of Categorical Outcomes Using IBM SPSS

longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical;

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Multilevel Modeling of Categorical Outcomes Using IBM SPSS

longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical;

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