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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 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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Bayesian Models for Categorical Data

students and researchers alike. Emphasizing the use of statistical computing and applied data analysis, this book provides a comprehensive;

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Statistical Analysis of Categorical Data

, marketing, and many more. Statistical Analysis of Categorical Data provides thorough, clear, up-to-date explanations of all important methods;

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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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Discrete Data Analysis with R

Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both;

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Applied Categorical Data Analysis and Translational Research

researchThoroughly updated with the latest advances in the field, Applied Categorical Data Analysis and Translational Research, Second Edition maintains the;

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Handbook of Discrete-Valued Time Series

series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the;

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Handbook of Discrete-Valued Time Series

series of counts and incorporates frequentist and Bayesian approaches for discrete-valued spatio-temporal data and multivariate data. While the;

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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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Spatial Analysis for the Social Sciences

spatial models for time-series cross-sectional data, categorical and limited dependent variables, count data, and survival data.;

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Spatial Analysis for the Social Sciences

spatial models for time-series cross-sectional data, categorical and limited dependent variables, count data, and survival data.;

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Biostatistical Methods

and clinical trials with categorical, count, and event-time data. Presenting a broad scope of coverage and the latest research on the topic;

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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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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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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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Categorical Data Analysis by Example

and resulting output Includes starred sections that provide more background details for interested readers Categorical Data Analysis by;

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Configural Frequency Analysis

, and some understanding of categorical data analysis and matrix algebra.;

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Configural Frequency Analysis

, and some understanding of categorical data analysis and matrix algebra.;

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Analysis Of Ordinal Categorical Data

Statistical science s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues;

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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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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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Categorical Statistics for Communication Research

modeling and logistic regression analysis. * Provides techniques for analyzing categorical data from a communication studies perspective * Provides;

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Incomplete Categorical Data Design

potentially inaccurate data. Addressing this difficulty, non-randomized response approaches enable sample survey practitioners and applied;

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Incomplete Categorical Data Design

potentially inaccurate data. Addressing this difficulty, non-randomized response approaches enable sample survey practitioners and applied;

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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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