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Viac informácií o knihe Uncertainty in Biology

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• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 345 bodov

Anotácia knihy

Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the building and validation of computational models of biomedical processes: 1. Modeling establishment under uncertainty 2. Model selection and parameter fitting 3. Sensitivity analysis and model adaptation 4. Model predictions under uncertainty In each of the abovementioned areas, the book discusses a number of key-techniques by means of a general theoretical description followed by one or more practical examples. This book is intended for graduate students and researchers active in the field of computational modeling of biomedical processes who seek to acquaint themselves with the different ways in which to study the parameter space of their model as well as its overall behavior.

Parametre knihy

Zaradenie knihy Knihy po anglicky Medicine Nursing & ancillary services Biomedical engineering

• Celý názov: Uncertainty in Biology
• Podnázov: A Computational Modeling Approach
• Autor: Liesbet Geris, David Gomez-Cabrero
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 478
• EAN: 9783319212951
• ISBN: 3319212958
• ID: 09366220
• Nakladateľ: Springer International Publishing AG
• Hmotnosť: 8513 g
• Rozmery: 235 × 155 × 239 mm
• Dátum vydania: 27. October 2015

Obľúbené z iného súdka

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