Simplicity, Inference and Modelling by Arnold Zellner & Hugo A. Keuzenkampf & Michael McAleer

Keeping it Sophisticatedly Simple

Simplicity, Inference and Modelling An inter-disciplinary perspective on the role of simplicity in modelling and inference.

The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this monograph examines simplicity by asking six questions: What is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience? The book concludes with reflections on simplicity by Nobel Laureates in Economics.
Author(s) : Arnold Zellner & Michael McAleer Format : Hardback Book
ISBN-10 : 0521803616 ISBN-13 : 9780521803618
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Product Details:

Country Publication : United Kingdom

Publication Date : 07/02/2002

Publisher : Cambridge University Press

Page Length : 312mm

Page Size : 236mm