Analysis of categorical data: Dual scaling and its applications : dual scaling and its applications 🔍
Nishisato, Shizuhiko, 1935-
Toronto: University of Toronto Press, Mathematical expositions,, no. 24, Toronto, Ontario, 1980
英语 [en] · PDF · 11.4MB · 1980 · 📗 未知类型的图书 · 🚀/duxiu/ia · Save
描述
Dual Scaling 1 -- Dual Scaling 2 -- Contingency (two-item) And Response-frequency Tables -- Response-pattern Table: Multiple-choice (n-item) Data -- Rank Order And Paired Comparison Tables -- Multidimensional Tables -- Miscellaneous Topics -- Analysis Of Variance Of Categorical Data. Shizuhiko Nishisato. Includes Index. Bibliography: P. [259]-270.
备选标题
Analysis Of Categorical Data: Dual Scaling And Its Applications (mathematical Expositions)
备选作者
Shizuhiko Nishisato
备用出版商
UNIVERSTIY OF TORONTO PRESS
备用版本
Mathematical expositions, Toronto [Ontario, 2019
备用版本
Canada - English Language, Canada
备用版本
April 1981
元数据中的注释
some text cut are close to the gutter due to tight binding inherent from the source.
obscured text front cover.
obscured text front cover.
元数据中的注释
Bibliography: p. [259]-270.
Includes index.
Includes index.
备用描述
This volume presents a unified and up-to-date account of the theory and methods of applying one of the most useful and widely applicable techniques of data analysis, 'dual scaling.' It addresses issues of interest to a wide variety of researchers concerned with data that are categorical in nature or by design: in the life sciences, the social sciences, and statistics.The eight chapters introduce the nature of categorical data and concept of dual scaling and present the applications of dual scaling to different forms of categorical data: the contingency table, the response-frequency table, the response-pattern table for multiple-choice data, ranking and paired comparison data, multidimensional tables, partially ordered and successively ordered categories, and incomplete data. The book also includes appendices outlining a minimum package of matrix calculus and a small FORTRAN program.Clear, concise, and comprehensive, Analysis of Categorical Data will be a useful textbook or handbook for students and researcher in a variety of fields
备用描述
Categorical data. Dual scaling and its history. Overview. Formulation. Optimization. Statistical tests. Multidimensional analysis. Duality. Other approaches to dual scaling. Basic characteristics and mathematical structure. Contingency (Two-Item) and response-frequency tables. Special problems. Applications. Response-pattern table: multiple-choice (n-ITEM) data. Special problems. Partially optimal scaling. Comparisons of option weighting and item weighting. General rank order data. Statistical tests. Ties, missing responses, and order effects. Applications. Multidimensional tables. General procedure. Applications. Miscellaneous topics. Treatment of ordered categories. Analysis of variance of categorical data. Missing responses. Concluding remarks. Matrix calculus. Basic concepts and operations of matrix algebra. Systems of linear equations. Orthogonal transformation and eigenvalues. Notation for matrix differentiation. Examples of matrix representation
备用描述
xiii, 276 pages ; 25 cm
Includes bibliographical references (pages 259-270) and index
Dual scaling 1 -- Dual scaling 2 -- Contingency (two-item) and response-frequency tables -- Response-pattern table: multiple-choice (n-item) data -- Rank order and paired comparison tables -- Multidimensional tables -- Miscellaneous topics -- Analysis of variance of categorical data
Includes bibliographical references (pages 259-270) and index
Dual scaling 1 -- Dual scaling 2 -- Contingency (two-item) and response-frequency tables -- Response-pattern table: multiple-choice (n-item) data -- Rank order and paired comparison tables -- Multidimensional tables -- Miscellaneous topics -- Analysis of variance of categorical data
开源日期
2023-06-28
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