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＜電子ブック＞
Measurement and Multivariate Analysis / edited by Shizuhiko Nishisato, Y. Baba, H. Bozdogan, K. Kanefuji

版	1st ed. 2002.
出版者	(Tokyo : Springer Japan : Imprint: Springer)
出版年	2002
本文言語	英語
大きさ	XVI, 332 p. 29 illus : online resource
著者標目	Nishisato, Shizuhiko editor Baba, Y editor Bozdogan, H editor Kanefuji, K editor SpringerLink (Online service)
件　名	LCSH:Probabilities LCSH:Statistics  LCSH:Artificial intelligence -- Data processing  全ての件名で検索 FREE:Probability Theory FREE:Statistical Theory and Methods FREE:Data Science
一般注記	Greetings -- Keynote Papers (John Gower, Chikio Hayashi) -- Introduction (S. Nishisato) -- Scaling -- Structural Analysis -- Statistical Inference -- Algorithms -- Data Analysis Diversity is characteristic of the information age and also of statistics. To date, the social sciences have contributed greatly to the development of handling data under the rubric of measurement, while the statistical sciences have made phenomenal advances in theory and algorithms. Measurement and Multivariate Analysis promotes an effective interplay between those two realms of research-diversity with unity. The union and the intersection of those two areas of interest are reflected in the papers in this book, drawn from an international conference in Banff, Canada, with participants from 15 countries. In five major categories - scaling, structural analysis, statistical inference, algorithms, and data analysis - readers will find a rich variety of topics of current interest in the extended statistical community HTTP:URL=https://doi.org/10.1007/978-4-431-65955-6

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