Object Oriented Data Analysis is a framework that facilitates
inter-disciplinary research through new terminology for discussing
the often many possible approaches to the analysis of complex data.
Such data are naturally arising in a wide variety of areas. This
book aims to provide ways of thinking that enable the making of
sensible choices. The main points are illustrated with many real
data examples, based on the authors' personal experiences, which
have motivated the invention of a wide array of analytic methods.
While the mathematics go far beyond the usual in statistics
(including differential geometry and even topology), the book is
aimed at accessibility by graduate students. There is deliberate
focus on ideas over mathematical formulas. J. S. Marron is the Amos
Hawley Distinguished Professor of Statistics, Professor of
Biostatistics, Adjunct Professor of Computer Science, Faculty
Member of the Bioinformatics and Computational Biology Curriculum
and Research Member of the Lineberger Cancer Center and the
Computational Medicine Program, at the University of North
Carolina, Chapel Hill. Ian L. Dryden is a Professor in the
Department of Mathematics and Statistics at Florida International
University in Miami, has served as Head of School of Mathematical
Sciences at the University of Nottingham, and is joint author of
the acclaimed book Statistical Shape Analysis.
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