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＜電子ブック＞
Ordinal Data Modeling / by Valen E. Johnson, James H. Albert
(Statistics for Social and Behavioral Sciences. ISSN:21997365)

版	1st ed. 1999.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	1999
本文言語	英語
大きさ	X, 258 p : online resource
著者標目	*Johnson, Valen E author Albert, James H author SpringerLink (Online service)
件　名	LCSH:Social sciences -- Statistical methods  全ての件名で検索 FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
一般注記	Review of Classical and Bayesian Inference -- Review of Bayesian Computation -- Regression Models for Binary Data -- Regression Models for Ordinal Data -- Analyzing Data from Multiple Raters -- Item Response Modeling -- Graded Response Models: A Case Study of Undergraduate Grade Data Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. Written for graduate students and researchers in the statistical and social sciences, this book describes a coherent framework for understanding binary and ordinal regression models, item response models, graded response models, and ROC analyses, and for exposing the close connection between these models. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, and considerable attention is devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface HTTP:URL=https://doi.org/10.1007/b98832

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