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TitleMeasurement and Multivariate Analysis [electronic resource] / edited by Shizuhiko Nishisato, Yasumasa Baba, Hamparsum Bozdogan, Koji Kanefuji
ImprintTokyo : Springer Japan : Imprint: Springer, 2002
Connect tohttp://dx.doi.org/10.1007/978-4-431-65955-6
Descript XVI, 332 p. 29 illus. online resource

SUMMARY

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


CONTENT

Greetings -- Keynote Papers (John Gower, Chikio Hayashi) -- Introduction (S. Nishisato) -- Scaling -- Structural Analysis -- Statistical Inference -- Algorithms -- Data Analysis


Mathematics Data structures (Computer science) Probabilities Statistics Mathematics Probability Theory and Stochastic Processes Statistical Theory and Methods Data Structures



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