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Simplicity, Inference and Modelling: Keeping it Sophisticatedly Simple

Simplicity, Inference and Modelling: Keeping it Sophisticatedly SimpleCreators: Arnold Zellner, Hugo A. Keuzenkamp, Michael McAleer
Publisher: Cambridge University Press

List Price: $43.00
Buy New: $34.99
as of 11/25/2009 04:12 CST details
You Save: $8.01 (19%)



New (10) Used (2) from $34.99

Seller: a1books
Sales Rank: 2182022

Media: Paperback
Edition: 1
Pages: 316
Number Of Items: 1
Shipping Weight (lbs): 1.1
Dimensions (in): 8.9 x 6 x 0.9

ISBN: 0521121353
Dewey Decimal Number: 330
EAN: 9780521121354
ASIN: 0521121353

Publication Date: October 15, 2009
Availability: Usually ships in 1-2 business days

Also Available In:

  • Hardcover - Simplicity, Inference and Modelling: Keeping it Sophisticatedly Simple

Editorial Reviews:

Product Description
The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor. 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?

Book Description
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. Using a multidisciplinary perspective this monograph asks 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 is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience?




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