Items related to Object Oriented Data Analysis (Chapman & Hall/CRC...

Object Oriented Data Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Hardcover

Book 109 of 110: ISSN

Marron, J. S.; Dryden, Ian L.

 
9780815392828: Object Oriented Data Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Hardcover
ISBN 10: 0815392826 ISBN 13: 9780815392828
Publisher: Chapman and Hall/CRC, 2021

Synopsis

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.

"synopsis" may belong to another edition of this title.

About the Author

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.

From the Back Cover

Object Oriented Data Analysis (OODA) provides a useful general framework for the consideration of many types of Complex Data. It is deliberately intended to be particularly useful in the analysis of data in complicated situations which are typically not easily represented as an unconstrained matrix of numbers.

"About this title" may belong to another edition of this title.

Publisher
Chapman and Hall/CRC
Publication date
2021
Language
English
ISBN 10 
0815392826
ISBN 13 
9780815392828
Binding
Hardcover
Edition number
1
Number of pages
424