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Lectures on Categorical Data Analysis, Tam?s Rudas


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Автор: Tam?s Rudas
Название:  Lectures on Categorical Data Analysis
ISBN: 9781493992591
Издательство: Springer
Классификация:


ISBN-10: 1493992597
Обложка/Формат: Soft cover
Страницы: 285
Вес: 0.62 кг.
Дата издания: 2018
Серия: Springer Texts in Statistics
Язык: English
Издание: Softcover reprint of
Иллюстрации: 1 illustrations, black and white; xi, 285 p. 1 illus.
Размер: Book (Paperback Initiative)
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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 mainly aimed at understanding the structure of associations among variables and the effects of other variables on these interactions. A great advantage of studying categorical data analysis is that many concepts in statistics become transparent when discussed in a categorical data context, and, in many places, the book takes this opportunity to comment on general principles and methods in statistics, addressing not only the “how” but also the “why.” Assuming minimal background in calculus, linear algebra, probability theory and statistics, the book is designed to be used in upper-undergraduate and graduate-level courses in the field and in more general statistical methodology courses, as well as a self-study resource for researchers and professionals. The book covers such key issues as: higher order interactions among categorical variables; the use of the delta-method to correctly determine asymptotic standard errors for complex quantities reported in surveys; the fundamentals of the main theories of causal analysis based on observational data; the usefulness of the odds ratio as a measure of association; and a detailed discussion of log-linear models, including graphical models. The book contains over 200 problems, many of which may also be used as starting points for undergraduate research projects. The material can be used by students toward a variety of goals, depending on the degree of theory or application desired.
Дополнительное описание: The Role of Categorical Data Analysis.- Sampling Distributions.- Normal Approximations.- Simple Estimation for Categorical Data.- Basic testing for categorical data.- Association.-Latent classes and exponential families.- Effects and associations.- Simpso



Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

Автор: Von Eye
Название: Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences
ISBN: 0805831827 ISBN-13(EAN): 9780805831825
Издательство: Taylor&Francis
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Цена: 7042.00 р.
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Описание: This authored book provides a comprehensive resource for analyzing a variety of categorical data.Accessible to social scientists and students, no advanced mathematical training is required. It includes applications,examples,computer tutorials,& exercises

The Statistical Analysis of Categorical Data

Автор: Erling B. Andersen
Название: The Statistical Analysis of Categorical Data
ISBN: 364278819X ISBN-13(EAN): 9783642788192
Издательство: Springer
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Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The aim of this book is to give an up to date account of the most commonly uses statisti- cal models for categorical data. In many cases, the data sets are those data sets, which were not included in the examples of the book, although they at one point in time were regarded as potential can- didates for an example.

Categorical and Nonparametric Data Analysis

Автор: Nussbaum E Michael
Название: Categorical and Nonparametric Data Analysis
ISBN: 1138787825 ISBN-13(EAN): 9781138787827
Издательство: Taylor&Francis
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Цена: 12248.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book's clear explanations of the underlying assumptions, computer simulations, and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of the techniques. The underlying assumptions of each test and the factors that impact validity and statistical power are reviewed so readers can explain their assumptions and how tests work in future publications. Numerous examples from psychology, education, and other social sciences demonstrate varied applications of the material. Basic statistics and probability are reviewed for those who need a refresher. Mathematical derivations are placed in optional appendices for those interested in this detailed coverage. Highlights include the following: Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research project; however, some chapters can be omitted entirely if preferred. Step-by-step examples of each test help readers see how the material is applied in a variety of disciplines.  Although the book can be used with any program, examples of how to use the tests in SPSS and Excel foster conceptual understanding. Exploring the Concept boxes integrated throughout prompt students to review key material and draw links between the concepts to deepen understanding.  Problems in each chapter help readers test their understanding of the material.  Emphasis on selecting tests that maximize power helps readers avoid "marginally" significant results.  Website (www.routledge.com/9781138787827) features datasets for the book's examples and problems, and for the instructor, PowerPoint slides, sample syllabi, answers to the even-numbered problems, and Excel data sets for lecture purposes. Intended for individual or combined graduate or advanced undergraduate courses in categorical and nonparametric data analysis, cross-classified data analysis, advanced statistics and/or quantitative techniques taught in psychology, education, human development, sociology, political science, and other social and life sciences, the book also appeals to researchers in these disciplines. The nonparametric chapters can be deleted if preferred. Prerequisites include knowledge of t tests and ANOVA.

The Analysis of Categorical Data Using GLIM

Автор: James K. Lindsey
Название: The Analysis of Categorical Data Using GLIM
ISBN: 0387970290 ISBN-13(EAN): 9780387970295
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Besides their previous statistics courses, these students have had an introductory course in computer programming (FORTRAN, Pascal, or C) and courses in calculus and linear algebra, so that they may not be typical students of sociology.

Categorical Data Analysis by AIC

Автор: Y. Sakamoto
Название: Categorical Data Analysis by AIC
ISBN: 0792314298 ISBN-13(EAN): 9780792314295
Издательство: Springer
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Цена: 13275.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents a practical approach to categorical data analysis based on the Akaike Information Criterion (AIC) and the Akaike Bayesian Information Criterion (ABIC). Topics covered include variable selection for categorical data, Bayesian binary regression and nonparametric density estimator.

Longitudinal Categorical Data Analysis

Автор: Brajendra C. Sutradhar
Название: Longitudinal Categorical Data Analysis
ISBN: 1493953206 ISBN-13(EAN): 9781493953202
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses.


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