The Analysis of Cross-classified Data Having Ordered Categories PDF Download
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Author: Leo A. Goodman
Publisher:
ISBN:
Category : Social Science
Languages : en
Pages : 440
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Book Description
Author: Leo A. Goodman
Publisher:
ISBN:
Category : Social Science
Languages : en
Pages : 440
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Book Description
Author: Stephen E. Fienberg
Publisher: Springer Science & Business Media
ISBN: 0387728252
Category : Mathematics
Languages : en
Pages : 208
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Book Description
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.
Author: Alan Agresti
Publisher: John Wiley & Sons
ISBN: 1118209990
Category : Mathematics
Languages : en
Pages : 376
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Book Description
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.
Author: Maria Kateri
Publisher: Springer
ISBN: 0817648119
Category : Mathematics
Languages : en
Pages : 315
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Book Description
Contingency tables arise in diverse fields, including life sciences, education, social and political sciences, notably market research and opinion surveys. Their analysis plays an essential role in gaining insight into structures of the quantities under consideration and in supporting decision making. Combining both theory and applications, this book presents models and methods for the analysis of two- and multidimensional-contingency tables. An excellent reference for advanced undergraduates, graduate students, and practitioners in statistics as well as biosciences, social sciences, education, and economics, the work may also be used as a textbook for a course on categorical data analysis. Prerequisites include basic background on statistical inference and knowledge of statistical software packages.
Author: Roxy Lynn Peck
Publisher:
ISBN:
Category : Contingency tables
Languages : en
Pages : 282
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Book Description
Author: Alan Agresti
Publisher: John Wiley & Sons
ISBN: 0471458767
Category : Mathematics
Languages : en
Pages : 734
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Book Description
Amstat News asked three review editors to rate their topfive favorite books in the September 2003 issue. CategoricalData Analysis was among those chosen. A valuable new edition of a standard reference "A 'must-have' book for anyone expecting to do research and/orapplications in categorical data analysis." –Statistics in Medicine on Categorical Data Analysis,First Edition The use of statistical methods for categorical data hasincreased dramatically, particularly for applications in thebiomedical and social sciences. Responding to new developments inthe field as well as to the needs of a new generation ofprofessionals and students, this new edition of the classicCategorical Data Analysis offers a comprehensiveintroduction to the most important methods for categorical dataanalysis. Designed for statisticians and biostatisticians as well asscientists and graduate students practicing statistics,Categorical Data Analysis, Second Edition summarizes thelatest methods for univariate and correlated multivariatecategorical responses. Readers will find a unified generalizedlinear models approach that connects logistic regression andPoisson and negative binomial regression for discrete data withnormal regression for continuous data. Adding to the value in thenew edition is coverage of: Three new chapters on methods for repeated measurement andother forms of clustered categorical data, including marginalmodels and associated generalized estimating equations (GEE)methods, and mixed models with random effects Stronger emphasis on logistic regression modeling of binaryand multicategory data An appendix showing the use of SAS for conducting nearly allanalyses in the book Prescriptions for how ordinal variables should be treateddifferently than nominal variables Discussion of exact small-sample procedures More than 100 analyses of real data sets to illustrateapplication of the methods, and more than 600 exercises An Instructor's Manual presenting detailed solutions to allthe problems in the book is available from the Wiley editorialdepartment.
Author: Gabor Szekely
Publisher: CRC Press
ISBN: 1482277492
Category : Mathematics
Languages : en
Pages : 500
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Book Description
A selection of articles presented at the Eighth Lukacs Symposium held at the Bowling Green State University, Ohio. They discuss consistency and accuracy of the sequential bootstrap, hypothesis testing, geometry in multivariate analysis, the classical extreme value model, the analysis of cross-classified data, diffusion models for neural activity, e
Author: Thomas D. Wickens
Publisher: Psychology Press
ISBN: 1317784790
Category : Psychology
Languages : en
Pages : 439
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Book Description
This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.
Author: Michael Hout
Publisher: Harvard University Press
ISBN: 9780674307285
Category : History
Languages : en
Pages : 420
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Book Description
This is the first systematic study of patterns of social mobility in Ireland. It covers a recent period--the 1960s--when Ireland was undergoing rapid economic growth and modernization. The author thus was able to test the widely accepted hypothesis that growth weakens class barriers. To his surprise he found that it did not. Social mobility increased somewhat, but among mobile men the better jobs still went to those from advantaged social class origins. Despite economic development and demographic change, the underlying link between social origins and career destinations remained unchanged. In chapters on education, life cycle, religion, and farming, Michael Hout shows how inequality persists in contemporary Ireland. In the last chapter he reviews evidence from other countries and concludes that governments must take action against class barriers in education and employment practices if inequality is to be reduced. Economic growth creates jobs, he argues, but economic growth alone cannot allocate those jobs fairly.
Author: G. Arminger
Publisher: Springer Science & Business Media
ISBN: 9780306448058
Category : Mathematics
Languages : en
Pages : 592
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Book Description
Contributors thoroughly survey the most important statistical models used in empirical reserch in the social and behavioral sciences. Following a common format, each chapter introduces a model, illustrates the types of problems and data for which the model is best used, provides numerous examples that draw upon familiar models or procedures, and includes material on software that can be used to estimate the models studied. This handbook will aid researchers, methodologists, graduate students, and statisticians to understand and resolve common modeling problems.
