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Simplicity, inference and modeling : keeping it sophisticatedly simple /
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 &#...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge ; New York :
Cambridge University Press,
2002.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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 'What is meant by simplicity?' |
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| Descripción Física: | 1 online resource (ix, 302 pages) |
| ISBN: | 0511041594 9780511041594 0511043813 9780511043819 0511119593 9780511119590 9780511493164 0511493169 0521803616 9780521803618 1280154861 9781280154867 |