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Více informací o knize Bayesian Inference and Maximum Entropy Methods in Science and Engineering

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Anotace knihy

This excellent volume considers the methods, applications and even the foundations of a key area of theoretical study. Namely, that of Bayesian probability, entropy and information theory in scientific and engineering applications. The material here has come out of the so-called MaxEnt workshops that for more than 25 years have explored the subject. Application areas include, but are not limited to: astronomy, physics, chemistry, biology, earth science, and engineering.

Parametry knihy

• Plný název: Bayesian Inference and Maximum Entropy Methods in Science and Engineering
• Podnázev: 27th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
• Autor: Kevin H. Knuth, Ariel Caticha, Adom Giffin, Carlos C. Rodríguez
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 492
• EAN: 9780735404687
• ISBN: 0735404682
• ID: 01391072
• Nakladatelství: Springer, Berlin
• Rozměry: 234 × 162 mm
• Rok vydání: 2007

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