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- Author: Shizuhiko Nishisato
- Publisher: University of Toronto Press
- ISBN-10: 1487578903
- ISBN-13: 9781487578909
- Format: 15.6 x 23.4 x 1.6 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
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.
EXTRA 10 % discount with code: EXTRA
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- Author: Shizuhiko Nishisato
- Publisher: University of Toronto Press
- ISBN-10: 1487578903
- ISBN-13: 9781487578909
- Format: 15.6 x 23.4 x 1.6 cm, minkšti viršeliai
- Language: English English
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.
Reviews