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.
