Second Edition, John Wiley & Sons, 2007. — 372 p. — ISBN: 0471226181, 978-0471226185. 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...
Wiley, 1996. — ISBN: 0471113387. Categorical Response Data, Sampling Models, Inference for a Proportion, Problems, Two-Way Contingency Tables. Probability Structure for Contingency Tables, Comparing Proportions in Two-by-Two Tables, The Odds Ratio, Chi-Squared Tests of Independence, Testing Independence for Ordinal Data, Exact Inference for Small Samples, Problems, Three-Way...
3rd edition. — New York: John Wiley & Sons, 2019. — 390 p. The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized...
Wiley, 2010. — 420 p. — 2nd ed. — ISBN: 0470082895, 9780470082898 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...
3rd ed. — John Wiley & Sons., 2012. — 742 p. — (Wiley Series in Probability and Statistics 792). — ISBN: 0470463635, 9780470463635. The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the...
Third Edition. — N.-Y.: Wiley, 2013. — 731 p. — ISBN: 978-0-470-46363-5.
The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis....
Berlin: Springer, 1990. — 532 p. This book is about the analysis of categorical data with special emphasis on applications in economics, political science and the social sciences. The book gives a brief theoretical introduction to log-linear modeling of categorical data, then gives an up-to-date account of models and methods for the statistical analysis of categorical data,...
Springer, 2007. — 280 p. — 2nd ed. — ISBN: 0387728244, 9780387728254 A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency tables. Until recent years the statistical and computational techniques available for the analysis of cross-classified data were quite limited. This book presents some of...
Second Edition. — N.-Y.: Springer, 2007. — 216 p. — ISBN: 978-0-387-72824-7. A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency tables. Until recent years the statistical and computational techniques available for the analysis of cross-classified data were quite limited. This book presents...
Boca Raton: Chapman & Hall/CRC Press, 2020. — 204 p. Categorical data-comprising counts of individuals, objects, or entities in different categories-emerge frequently from many areas of study, including medicine, sociology, geology, and education. They provide important statistical information that can lead to real-life conclusions and the discovery of fresh knowledge....
Springer, 2016. — 259 p. — ISBN: 978-981-10-0870-2, 978-981-10-0871-9 The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable...
Springer, 2019. — 156 p. — ISBN: 978-3-030-11670-5. This introductory book enables researchers and students of all backgrounds to compute interrater agreements for nominal data. It presents an overview of available indices, requirements, and steps to be taken in a research project with regard to reliability, preceded by agreement. The book explains the importance of computing...
New York: Springer, 2018. — 288 p. — ISBN: 978-1-4939-7691-1. This book offers a relatively self-contained presentation of the fundamental results in categorical data analysis, which plays a central role among the statistical techniques applied in the social, political and behavioral sciences, as well as in marketing and medical and biological research. The methods applied are...
Cambridge University Press, 2012. — x+562 p. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN: 9781107009653. 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...
Hoboken: John Wiley & Sons, 2015. - 217 p. What are Categorical Data? A Typical Data Set Visualization and Cross-Tabulation Samples, Populations, and Random Variation Proportion, Probability, and Conditional Probability Probability Distributions The Binomial Distribution The Multinomial Distribution The Poisson Distribution The Normal Distribution The Chi-Squared ()...
Lawrence Erlbaum Associates, Inc., Publishers. 2002 - 472 pages.
ISBN: 0805843248.
Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications. Written in a formal yet accessible style, actual empirical data examples are used to illustrate key concepts. Step-by-step program sequences are used to show...
2nd ed. — Springer, 2024. — 297 p. — (ICSA Book Series in Statistics). — ISBN 978-3-031-62426-1. This book is an updated edition of Modeling Binary Correlated Responses Using SAS, SPSS and R, and now it includes the use of STATA. It uses these Statistical tools to analyze correlated binary data, accessible to practitioners in a single volume. Chapters cover recently developed...
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