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Analysis of Ordinal Categorical Data

Autor: Alan Agresti

Número de Páginas: 376

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.

An Introduction to Categorical Data Analysis

Autor: Alan Agresti

Número de Páginas: 400

Praise for the First Edition "This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." —Short Book Reviews "Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing, and sports, to name a few." —Journal of Quality Technology "Alan Agresti has written another brilliant account of the analysis of categorical data." —The Statistician The use of statistical methods for categorical data is ever increasing in today's world. An Introduction to Categorical Data Analysis, Second Edition provides an applied introduction to the most important methods for analyzing categorical data. This new edition summarizes methods that have long played a prominent role in data analysis, such as chi-squared tests, and also places special emphasis on logistic regression and other modeling techniques for univariate and correlated multivariate categorical responses. This Second Edition features: Two new chapters on the methods for clustered data, with an emphasis on generalized estimating equations (GEE) and random effects ...

Categorical Data Analysis by Example

Autor: Graham J. G. Upton

Número de Páginas: 203

Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount of prose. It is aimed at researchers with their own data ready to be analyzed and at students who would like an approachable alternative view of the subject. Each new topic in categorical data analysis is illustrated with an example that readers can apply to their own sets of data. In many cases, R code is given and excerpts from the resulting output are presented. In the context of log-linear models for cross-tabulations, two specialties of the house have been included: the use of cobweb diagrams to get visual information concerning significant interactions, and a procedure for detecting outlier category combinations. The R code used for these is available and may be freely adapted. In addition, this book: Uses an example to illustrate each new topic in categorical data Provides a clear explanation of an important subject Is understandable to most readers with minimal statistical and ...

Analyzing Categorical Data

Autor: Jeffrey S. Simonoff

Número de Páginas: 508

Categorical data arise often in many fields, including biometrics, economics, management, manufacturing, marketing, psychology, and sociology. This book provides an introduction to the analysis of such data. The coverage is broad, using the loglinear Poisson regression model and logistic binomial regression models as the primary engines for methodology. Topics covered include count regression models, such as Poisson, negative binomial, zero-inflated, and zero-truncated models; loglinear models for two-dimensional and multidimensional contingency tables, including for square tables and tables with ordered categories; and regression models for two-category (binary) and multiple-category target variables, such as logistic and proportional odds models. All methods are illustrated with analyses of real data examples, many from recent subject area journal articles. These analyses are highlighted in the text, and are more detailed than is typical, providing discussion of the context and background of the problem, model checking, and scientific implications. More than 200 exercises are provided, many also based on recent subject area literature. Data sets and computer code are available...

Introduction to Categorical Data Analysis 2E for University of California Davis

Autor: Alan Agresti

Número de Páginas: 400

Categorical Data Analysis Using SAS, Third Edition

Autor: Maura E. Stokes , Charles S. Davis , Gary G. Koch

Número de Páginas: 588

Statisticians and researchers will find this book, newly updated for SAS/STAT 12.1, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS.

Introduction to the Statistical Analysis of Categorical Data

Autor: Erling B. Andersen

Número de Páginas: 274

This book deals with the analysis of categorical data. Statistical models, especially log-linear models for contingency tables and logistic regression, are described and applied to real life data. Special emphasis is given to the use of graphical methods. The book is intended as a text for both undergraduate and graduate courses for statisticians, applied statisticians, social scientists, economists and epidemiologists. Many examples and exercises with solutions should help the reader to understand the material.

Studyguide for an Introduction to Categorical Data Analysis by Agresti, Alan

Autor: Cram101 Textbook Reviews

Número de Páginas: 172

Never HIGHLIGHT a Book Again Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9780872893795. This item is printed on demand.

Regression for Categorical Data

Autor: Gerhard Tutz

Número de Páginas: 573

This book introduces basic and advanced concepts of categorical regression with a focus on the structuring constituents of regression, including regularization techniques to structure predictors. In addition to standard methods such as the logit and probit model and extensions to multivariate settings, the author presents more recent developments in flexible and high-dimensional regression, which allow weakening of assumptions on the structuring of the predictor and yield fits that are closer to the data. A generalized linear model is used as a unifying framework whenever possible in particular parametric models that are treated within this framework. Many topics not normally included in books on categorical data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative models like the hurdle model and zero-inflated regression models for count data; and non-standard tree-based ensemble methods. The book is accompanied by an R package that contains data sets and code for all the examples.

Juran's Quality Handbook: The Complete Guide to Performance Excellence 6/e

Autor: Joseph A. Defeo , J. M. Juran

Número de Páginas: 1136

The definitive quality management compendium--revised for the first time in a decade For more than 50 years, Juran's Quality Handbook has been the singular essential reference to quality management and engineering. The Sixth Edition--the first revision of the Handbook in 10 years--forges a new standard in tools for quality. Bringing leaders, managers, master and black belts, and engineers the most up-to-date methods, research, and tools, under the guidance of a team of the world's top experts, this authoritative resource shows how to apply universal methods for delivering superior results and organizational excellence in any organization, industry, country, or process. Juran's Quality Handbook, sixth edition covers: Leadership--what everyone needs to know about managing for superior quality and results Methods--the most effective methods and tools for attaining superior results, such as Lean, Six Sigma, Root Cause Analysis, Continuous Innovation, and more Industry applications--effectively applying quality management The roles of key functions--such as quality professionals, research and development, supply chain, and governance--and what they must carry out to attain superior...

Analysis of Categorical Data with R

Autor: Christopher R. Bilder , Thomas M. Loughin

Número de Páginas: 1031

Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The second edition is a substantial update of the first based on the authors’ experiences of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter—group testing and splines. The computing has been completely updated, with the "emmeans" package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated. Features: Requires no prior experience with R, and offers an introduction to the essential features and functions of R Includes numerous examples from...

An Introduction to Statistical Methods and Data Analysis

Autor: Lyman Ott

Número de Páginas: 806

What is statistics? Data description; Probability and probability distributions; Inferences about; Catagorical data; Inferences about population variances; Linear regression and correlation; Inferences related to linear regression and correlation; Introduction to the analysis of variance; Multiple comparisons; Multiple regression and the general linear model; More on multiple regression; Analysis of variance for some standard experimental designs; Analysis of variance for some unbalanced designs; Analysis of variance for some fixed-random and mixed effects models; The analysis of covariance; Data management.

Outlines and Highlights for Introduction to Categorical Data Analysis by Alan Agresti, Isbn

Autor: Cram101 Textbook Reviews

Número de Páginas: 170

Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780471226185 .

Applied Categorical Data Analysis

Autor: Chap T. Le

Número de Páginas: 318

The nonstatistician's quick reference to applied categorical data analysis With a succinct, unified approach to applied categorical data analysis and an emphasis on applications, this book is immensely useful to researchers and students in the biomedical disciplines and to anyone concerned with statistical analysis. This self-contained volume provides up-to-date coverage of all major methodologies in this area of applied statistics and acquaints the reader with statistical thinking as expressed through a variety of modern-day topics and techniques. Applied Categorical Data Analysis introduces a number of new research areas, including the Mantel-Haenszel method, Kappa statistics, ordinal risks, odds ratio estimates, goodness-of-fit, and various regression models for categorical data. Chap T. Le, author of Health and Numbers and Applied Survival Analysis, presents his information in a user-friendly format and an accessible style while purposefully keeping the mathematics to a level appropriate for students in applied fields. Well supplemented with helpful graphs and tables, Applied Categorical Data Analysis: * Covers both basic and advanced topics * Employs many real-life examples...

Statistical Rules of Thumb

Autor: Gerald Van Belle

Número de Páginas: 250

This handbook intends to provide simple rules of thumb, widely applicable, robust, elegant, and that capture key statistical concepts. It provides a framework for considering statistical questions such as sample size and design of experiments.

International Journal of Educational Reform

Número de Páginas: 484

International Labour Documentation

Autor: International Labour Organization. Central Library And Documentation Bureau

Número de Páginas: 504

Categorical Data Analysis

Autor: Alan Agresti

Número de Páginas: 580

The past quarter-century has seen an explosion in the development of methods for analyzing categorical data. These methods have influenced—and been influenced by—the increasing availability of multivariate data sets with categorical responses in the social, behavioral, and biomedical sciences, as well as in public health, ecology, education, marketing, food science, and industrial quality control. Categorical Data Analysis describes the most important new methods, offering a unified presentation of modeling using generalized linear models and emphasizing loglinear and logit modeling techniques. Contributions of noted statisticians (Pearson, Yule, Fisher, Neyman, Cochran), whose pioneering efforts set the pace for the evolution of modern methods, are examined as well. Special features of the book include: Coverage of methods for repeated measurement data, which have become increasingly important in biomedical applications Prescriptions for how ordinal variables should be treated differently than nominal variables Derivations of basic asymptotic and fixed-sample-size inferential methods Discussion of exact small sample procedures More than 40 examples of analyses of "real" data...