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

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Название:  New Developments in Categorical Data Analysis for the Social and Behavioral Sciences
ISBN: 9780415650427
Издательство: Taylor&Francis
ISBN-10: 0415650429
Обложка/Формат: Paperback
Страницы: 240
Вес: 0.402 кг.
Дата издания: 25.07.2013
Серия: Quantitative methodology series
Язык: English
Иллюстрации: Black & white tables, figures
Размер: 228 x 154 x 15
Читательская аудитория: Professional and scholarly
Ключевые слова: Psychological methodology, BUSINESS & ECONOMICS / Statistics,EDUCATION / Statistics,PSYCHOLOGY / Statistics
Поставляется из: Англии

A Course in Categorical Data Analysis

Автор: Leonard
Название: A Course in Categorical Data Analysis
ISBN: 1584881801 ISBN-13(EAN): 9781584881803
Издательство: Taylor&Francis
Цена: 15125 р.
Наличие на складе: Поставка под заказ.

Описание: Developed from long experience in teaching categorical analysis to a multidisciplinary mix of students, this text presents straightforward ways of extracting real-life conclusions from contingency tables. The author uses a Fisherian approach to categorical data analysis and incorporates numerous examples and real data sets. He chooses methods and an approach that nurtures intuitive thinking, offering tools that should enable readers to draw scientific, medical or real-life conclusions from categorical data sets.

Applied Categorical and Count Data Analysis

Название: Applied Categorical and Count Data Analysis
ISBN: 1439806241 ISBN-13(EAN): 9781439806241
Издательство: Taylor&Francis
Цена: 11686 р.
Наличие на складе: Поставка под заказ.

Описание: Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without using rigorous mathematical arguments. The text covers classic concepts and popular topics, such as contingency tables, logistic models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide range of biomedical and psychosocial research fields.

Analyzing Categorical Data

Автор: Simonoff Jeffrey S.
Название: Analyzing Categorical Data
ISBN: 0387007490 ISBN-13(EAN): 9780387007496
Издательство: Springer
Цена: 11549 р.
Наличие на складе: Поставка под заказ.

Описание: 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 at a web site devoted to the text. Adopters of this book may request a solutions manual from: textbooks@springer-ny.com. Jeffrey S. Simonoff is Professor of Statistics at New York University. He is author of Smoothing Methods in Statistics and coauthor of A Casebook for a First Course in Statistics and Data Analysis, as well as numerous articles in scholarly journals. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and an Elected Member of the International Statistical Institute.

Categorical Data Analysis

Автор: Agresti Alan
Название: Categorical Data Analysis
ISBN: 0470463635 ISBN-13(EAN): 9780470463635
Издательство: Wiley
Цена: 18970 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis. " Statistics in Medicine "It is a total delight reading this book.

Analysis of Categorical Data with R

Автор: Bilder
Название: Analysis of Categorical Data with R
ISBN: 1439855676 ISBN-13(EAN): 9781439855676
Издательство: Taylor&Francis
Цена: 12374 р.
Наличие на складе: Поставка под заказ.

Описание: Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. 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 Use of R as Both a Data Analysis Method and a Learning ToolRequiring no prior experience with R, the text offers an introduction to the essential features and functions of R. It incorporates numerous examples from medicine, psychology, sports, ecology, and other areas, along with extensive R code and output. The authors use data simulation in R to help readers understand the underlying assumptions of a procedure and then to evaluate the procedure’s performance. They also present many graphical demonstrations of the features and properties of various analysis methods. Web ResourceThe data sets and R programs from each example are available at www.chrisbilder.com/categorical. The programs include code used to create every plot and piece of output. Many of these programs contain code to demonstrate additional features or to perform more detailed analyses than what is in the text. Designed to be used in tandem with the book, the website also uniquely provides videos of the authors teaching a course on the subject. These videos include live, in-class recordings, which instructors may find useful in a blended or flipped classroom setting. The videos are also suitable as a substitute for a short course.

Categorical Data Analysis by Example

Автор: Upton
Название: Categorical Data Analysis by Example
ISBN: 1119307864 ISBN-13(EAN): 9781119307860
Издательство: Wiley
Цена: 10993 р.
Наличие на складе: Поставка под заказ.

Описание: 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.

Categorical Data Analysis, 2nd Edition

Автор: Alan Agresti
Название: Categorical Data Analysis, 2nd Edition
ISBN: 0471360937 ISBN-13(EAN): 9780471360933
Издательство: Wiley
Цена: 13750 р.
Наличие на складе: Поставка под заказ.

Описание: Responding to the developments in the field as well as to the needs of a new generation of professionals and students, this edition offers a comprehensive introduction to the most important methods for categorical data analysis. It is suitable for statisticians and biostatisticians as well as scientists and graduate students practicing statistics.

The Analysis of Cross-Classified Categorical Data

Автор: Fienberg Stephen
Название: The Analysis of Cross-Classified Categorical Data
ISBN: 0387728244 ISBN-13(EAN): 9780387728247
Издательство: Springer
Цена: 8892 р.
Наличие на складе: Поставка под заказ.

Описание: 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 the recent work on the statistical analysis of cross-classified data using longlinear models, especially in the multidimensional situation.

Introduction to the Statistical Analysis of Categorical Data

Автор: Andersen
Название: Introduction to the Statistical Analysis of Categorical Data
ISBN: 354062399X ISBN-13(EAN): 9783540623991
Издательство: Springer
Цена: 6578 р.
Наличие на складе: Поставка под заказ.

Описание: 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.

Spatial data analysis by example categorical and directional data

Автор: Upton, Graham J.g. Fingleton, Bernard
Название: Spatial data analysis by example categorical and directional data
ISBN: 047192086X ISBN-13(EAN): 9780471920861
Издательство: Wiley
Цена: 54038 р.
Наличие на складе: Поставка под заказ.

Описание: The second volume of a work dealing with spatial data analysis, this examines the problems presented by categorical and directional data; worked examples are included wherever possible and references to source literature are provided.

Analysis of ordinal categorical data 2nd

Автор: Agresti, Alan
Название: Analysis of ordinal categorical data 2nd
ISBN: 0470082895 ISBN-13(EAN): 9780470082898
Издательство: Wiley
Цена: 17318 р.
Наличие на складе: Поставка под заказ.

Описание: 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.

Categorical Data Analysis

Автор: Yang Keming
Название: Categorical Data Analysis
ISBN: 1446266516 ISBN-13(EAN): 9781446266519
Издательство: Sage Publications
Цена: 102028 р.
Наличие на складе: Поставка под заказ.

Описание: These four volumes provide a collection  of key publications on categorical data analysis, carefully put together so that the reader can easily navigate, understand and put in context the major concepts and methods of analysing categorical data. The major work opens with a series of papers that address general issues in CDA, and progresses with publications which follow a logical movement from the statistics for analysing a single categorical variable, to those for studying the relationships between two and more categorical variables, and to categorical variables in some of more advanced methods, such as latent class analysis. Edited and introduced by a leading voice in the field, this collection helpfully includes both theoretical and applied items on its theme, in order to help the reader understand the methods and use them in empirical research. Volume 1: Basic Concepts and Principles Volume 2: Statistical Methods for Analysing Associations Volume 3: Log-Linear and Logistic Regression Models  Volume 4: Advanced and Graphical Statistical Methods

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