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Books > Computing & IT > General theory of computing > Data structures
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Measurement and Multivariate Analysis (Paperback, 2002 ed.)
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Measurement and Multivariate Analysis (Paperback, 2002 ed.)
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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.
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