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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.
Recent Advances in Statistical Research and Data Analysis is a
collection of papers presented at the symposium of the same name,
held in Tokyo by the Center for Information on Statistical Science
of the Institute of Statistical Mathematics (ISM). Under the
auspices of the Ministry of Education, Culture, Sports, Science and
Technology of Japan, the ISM has created visiting professorships
and organized symposia to promote collaboration between researchers
from Japan and those from other countries. At the symposium on
recent advances in statistical research and data analysis, the
keynote speaker was Visiting Professor Anthony J. Hayter. This book
includes Prof. Hayter's address as well as papers from special
lectures that were presented at the symposium. All the
contributions are concerned with theory and methodology for real
data and thus will benefit researchers, students, and others
engaged in data analysis.
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