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Analysis Of Ordinal Categorical Data

of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving;

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An Introduction to Categorical Data Analysis

, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these;

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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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Configural Frequency Analysis

Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications;

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Configural Frequency Analysis

Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications;

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A Course in Categorical Data Analysis

contingency tables. The author uses a Fisherian approach to categorical data analysis and incorporates numerous examples and real data sets. Although;

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A Course in Categorical Data Analysis

contingency tables. The author uses a Fisherian approach to categorical data analysis and incorporates numerous examples and real data sets. Although;

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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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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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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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Categorical Statistics for Communication Research

Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text;

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SAS Data Management for Public Health

SAS Data Management for Public Health: An Introduction equips readers with the tools and knowledge they need to prepare public health 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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Categorical Data Analysis by Example

approachable alternative view of the subject. Each new topic in categorical data analysis is illustrated with an example that readers can apply to;

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An Introduction to Statistics with Python

This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical;

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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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Multidimensional Nonlinear Descriptive Analysis

. This reference not only provides an overview of multidimensional nonlinear descriptive analysis (MUNDA) of discrete data, it also offers new;

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Analysis of Categorical Data

ISBN Analysis of Categorical Data: Dual Scaling and its Applications. Taalversie: Engels, Geschreven door: Shizuhiko Nishisato, Aantal;

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

of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing;

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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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Incomplete Categorical Data Design

statisticians to protect the privacy of respondents and properly analyze the gathered data. Incomplete Categorical Data Design: Non-Randomized;

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Incomplete Categorical Data Design

statisticians to protect the privacy of respondents and properly analyze the gathered data. Incomplete Categorical Data Design: Non-Randomized;

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Exploratory Multivariate Analysis by Example Using R

two categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context;

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Exploratory Multivariate Analysis by Example Using R

categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context in which;

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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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Nonlinear Principal Component Analysis and Its Applications

data (nominal and ordinal) is introduced as nonlinear PCA, in which an optimal scaling technique is used to quantify the categorical variables;

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Categorical Data Analysis Using SAS

, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical;

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