Statistical methods for categorical data analysis /:
"Statistical Methods for Categorical Data Analysis by Daniel A. Powers and Yu Xie provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. An explicit aim of the book is to integrate the transformational and the...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Bingley, UK :
Emerald,
2008.
|
Ausgabe: | Second edition. |
Schlagworte: | |
Online-Zugang: | DE-862 DE-863 |
Zusammenfassung: | "Statistical Methods for Categorical Data Analysis by Daniel A. Powers and Yu Xie provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. An explicit aim of the book is to integrate the transformational and the latent variable approach, two diverse but complementary traditions dealing with the analysis of categorical data. This is the first introductory text to cover models and methods for discrete dependent variables, cross-classifications, and longitudinal data in a rigorous, yet accessible, manner in a single volume." "This book presents the essential methods and models that form the core of contemporary social statistics. The book covers a remarkable range of models that have applications in sociology, demography, psychometrics, econometrics, political science, biostatistics, and other fields. It will be especially useful as a graduate textbook for students in advanced social statistics courses and as a reference book for applied researchers."--Jacket |
Beschreibung: | "First edition [sic]"--Title page verso |
Beschreibung: | 1 online resource (xvii, 317 pages) : illustrations |
Bibliographie: | Includes bibliographical references (pages 297-306) and index. |
ISBN: | 9781781906590 1781906599 |
Internformat
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520 | 1 | |a "Statistical Methods for Categorical Data Analysis by Daniel A. Powers and Yu Xie provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. An explicit aim of the book is to integrate the transformational and the latent variable approach, two diverse but complementary traditions dealing with the analysis of categorical data. This is the first introductory text to cover models and methods for discrete dependent variables, cross-classifications, and longitudinal data in a rigorous, yet accessible, manner in a single volume." "This book presents the essential methods and models that form the core of contemporary social statistics. The book covers a remarkable range of models that have applications in sociology, demography, psychometrics, econometrics, political science, biostatistics, and other fields. It will be especially useful as a graduate textbook for students in advanced social statistics courses and as a reference book for applied researchers."--Jacket | |
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adam_text | |
any_adam_object | |
author | Powers, Daniel A. |
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author2_role | |
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author_GND | http://id.loc.gov/authorities/names/nr93018041 |
author_facet | Powers, Daniel A. Xie, Yu, 1959- |
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contents | Review of linear regression models -- Models for binary data -- Loglinear models for contingency tables -- Multilevel models for binary data -- Statistical models for event occurrence -- Models for ordinal dependent variables -- Models for nominal dependent variables. |
ctrlnum | (OCoLC)973932956 |
dewey-full | 519.535 |
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dewey-ones | 519 - Probabilities and applied mathematics |
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dewey-search | 519.535 |
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dewey-tens | 510 - Mathematics |
discipline | Mathematik |
edition | Second edition. |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn973932956 |
illustrated | Illustrated |
indexdate | 2025-04-11T08:43:37Z |
institution | BVB |
isbn | 9781781906590 1781906599 |
language | English |
oclc_num | 973932956 |
open_access_boolean | |
owner | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
physical | 1 online resource (xvii, 317 pages) : illustrations |
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publishDate | 2008 |
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publisher | Emerald, |
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spelling | Powers, Daniel A. Statistical methods for categorical data analysis / Daniel A. Powers, Yu Xie. Second edition. Bingley, UK : Emerald, 2008. 1 online resource (xvii, 317 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier "First edition [sic]"--Title page verso Includes bibliographical references (pages 297-306) and index. Review of linear regression models -- Models for binary data -- Loglinear models for contingency tables -- Multilevel models for binary data -- Statistical models for event occurrence -- Models for ordinal dependent variables -- Models for nominal dependent variables. "Statistical Methods for Categorical Data Analysis by Daniel A. Powers and Yu Xie provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. An explicit aim of the book is to integrate the transformational and the latent variable approach, two diverse but complementary traditions dealing with the analysis of categorical data. This is the first introductory text to cover models and methods for discrete dependent variables, cross-classifications, and longitudinal data in a rigorous, yet accessible, manner in a single volume." "This book presents the essential methods and models that form the core of contemporary social statistics. The book covers a remarkable range of models that have applications in sociology, demography, psychometrics, econometrics, political science, biostatistics, and other fields. It will be especially useful as a graduate textbook for students in advanced social statistics courses and as a reference book for applied researchers."--Jacket Print version record. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Analyse multivariée. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Multivariate analysis fast Matematisk statistik. sao Multivariat analys. sao Xie, Yu, 1959- https://id.oclc.org/worldcat/entity/E39PBJmpfpqmRD7cvffw9qX8G3 http://id.loc.gov/authorities/names/nr93018041 has work: Statistical methods for categorical data analysis (Text) https://id.oclc.org/worldcat/entity/E39PCFCkwkDdb8R8xrYGtV7yh3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Powers, Daniel A. Statistical methods for categorical data analysis. Second edition. Bingley, UK : Emerald, 2008 9780123725622 (OCoLC)280381761 |
spellingShingle | Powers, Daniel A. Statistical methods for categorical data analysis / Review of linear regression models -- Models for binary data -- Loglinear models for contingency tables -- Multilevel models for binary data -- Statistical models for event occurrence -- Models for ordinal dependent variables -- Models for nominal dependent variables. Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Analyse multivariée. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Multivariate analysis fast Matematisk statistik. sao Multivariat analys. sao |
subject_GND | http://id.loc.gov/authorities/subjects/sh85088390 https://id.nlm.nih.gov/mesh/D015999 |
title | Statistical methods for categorical data analysis / |
title_auth | Statistical methods for categorical data analysis / |
title_exact_search | Statistical methods for categorical data analysis / |
title_full | Statistical methods for categorical data analysis / Daniel A. Powers, Yu Xie. |
title_fullStr | Statistical methods for categorical data analysis / Daniel A. Powers, Yu Xie. |
title_full_unstemmed | Statistical methods for categorical data analysis / Daniel A. Powers, Yu Xie. |
title_short | Statistical methods for categorical data analysis / |
title_sort | statistical methods for categorical data analysis |
topic | Multivariate analysis. http://id.loc.gov/authorities/subjects/sh85088390 Multivariate Analysis https://id.nlm.nih.gov/mesh/D015999 Analyse multivariée. MATHEMATICS Applied. bisacsh MATHEMATICS Probability & Statistics General. bisacsh Multivariate analysis fast Matematisk statistik. sao Multivariat analys. sao |
topic_facet | Multivariate analysis. Multivariate Analysis Analyse multivariée. MATHEMATICS Applied. MATHEMATICS Probability & Statistics General. Multivariate analysis Matematisk statistik. Multivariat analys. |
work_keys_str_mv | AT powersdaniela statisticalmethodsforcategoricaldataanalysis AT xieyu statisticalmethodsforcategoricaldataanalysis |