Sinossi
An inter-disciplinary perspective on the role of simplicity in modelling and inference, first published in 2002.
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Recensione
"This lively and informative exposition of several points of view...will make this book pleasurable reading for not only philosophers of science and epistemologists, but also for those data analysts interested in formalizing the foundations that guide and shape their modeling practices." Journal of American Statistical Association
Descrizione del libro
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 2002 monograph asks 'What is meant by simplicity?'
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Simplicity, Inference and Modelling: Keeping it Sophisticatedly Simple
Editore:
Cambridge University Press, 2009
ISBN 10: 0521121353
ISBN 13: 9780521121354
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Simplicity, Inference and Modelling: Keeping it Sophisticatedly Simple
Editore:
Cambridge University Press, 2009
ISBN 10: 0521121353
ISBN 13: 9780521121354
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Simplicity, Inference and Modelling (Paperback)
Editore:
Cambridge University Press, Cambridge, 2009
ISBN 10: 0521121353
ISBN 13: 9780521121354
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Paperback. Condizione: new. Paperback. 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 2002 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. 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 2002 monograph asks 'What is meant by simplicity?' This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521121354
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Simplicity, Inference and Modelling
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Paperback. Condizione: New. 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 2002 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. Codice articolo LU-9780521121354
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Paperback. Condizione: Brand New. reissue edition. 302 pages. 8.75x5.75x0.75 inches. In Stock. This item is printed on demand. Codice articolo __0521121353
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Simplicity, Inference and Modelling: Keeping it Sophisticatedly Simple
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Cambridge University Press 2009-09-15, 2009
ISBN 10: 0521121353
ISBN 13: 9780521121354
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