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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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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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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

, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible to;

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Regression Models for Categorical and Count Data

regression analysis on categorical and count data. The author covers both the theory and application of statistical models, with the help;

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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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Structural Equation Modeling

graphical displays of data and analysis results. Intended as both a teaching resource and a reference guide, and written in non-mathematical;

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Statistical Methods for Categorical Data Analysis

This book provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social;

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Statistical Methods for Categorical Data Analysis

Intended for graduate students, this textbook introduces methods and models for the analysis of categorical data and their applications;

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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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Graphical Models with R

handled within R. Topics covered in the seven chapters include graphical models for contingency tables, Gaussian and mixed graphical models;

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Statistical Analysis of Categorical Data

to a statistician wanting to analyze and report on categorical data, Statistical Analysis of Categorical Data is an excellent resource for;

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Applied Categorical and Count Data Analysis

Developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the;

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Regression Models for Categorical Dependent Variables Using Stata

categorical data with Stata. The authors also provide a suite of commands for hypothesis testing and model diagnostics to accompany the book. The book;

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An Introduction to Categorical Data Analysis

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically;

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A Course in Categorical Data Analysis

, valid methods for analysis of measurement data, categorical data requires a different methodology and techniques typically not encountered;

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A Course in Categorical Data Analysis

, valid methods for analysis of measurement data, categorical data requires a different methodology and techniques typically not encountered;

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Learning Probabilistic Graphical Models in R

This Book Is For This book is for anyone who has to deal with lots of data and draw conclusions from it, especially when the data is noisy;

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Categorical Data Analysis and Multilevel Modeling Using R

Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal;

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The EM Algorithm and Related Statistical Models

Chain Monte Carlo methods. It describes software resources valuable for the processing of the EM algorithm with incomplete data and for general;

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Fundamentals of Statistical Thinking

provide further applications for categorical data and simple linear regression models. Graphical illustrations support the written text and each;

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New Developments in Categorical Data Analysis for the Social and Behavioral Sciences

Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status;

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Configural Frequency Analysis

intended for researchers and students in the social and behavioral sciences, the book will also appeal to anyone who deals with categorical data;

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Analysis of Categorical Data with R

Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with R presents a modern account of categorical data analysis;

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Applied Categorical Data Analysis and Translational Research

An updated treatment of categorical data analysis in the biomedical sciences that now explores applications to translational;

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