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Author Tenekedjiev, Kiril Ivanov, author.

Title Applications of Monte Carlo simulation in modelling of biochemical processes / Kiril Ivanov Tenekedjiev, Natalia Danailova Nikolova, and Krasimir Kolev. [electronic resource]

Publication Info. Rijeka (HR) : InTech, 2011.

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Location Call No. OPAC Message Status
 Axe NCBI E-Book  Electronic Book    ---  Available
Description 1 online resource (1 PDF file (pages-58-76)) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Bibliography Includes bibliographical references.
Summary "The biochemical models describing complex and dynamic metabolic systems are typically multi-parametric and non-linear, thus the identification of their parameters requires non-linear regression analysis of the experimental data. The stochastic nature of the experimental samples poses the necessity to estimate not only the values fitting best to the model, but also the distribution of the parameters, and to test statistical hypotheses about the values of these parameters. In such situations the application of analytical models for parameter distributions is totally inappropriate because their assumptions are not applicable for intrinsically non-linear regressions. That is why, Monte Carlo simulations are a powerful tool to model biochemical processes"--Introduction.
Note Description based on online resource; title from PDF title page (viewed February 22, 2017).
Chapter 4 of the book: Applications of Monte Carlo methods in biology, medicine and other fields of science / Charles J Mode, editor.
Subject Biochemical Phenomena
Monte Carlo Method
Added Author Nikolova, Natalia Danailova, author.
Kolev, Krasimir, author.
Added Title Contained in (work): Applications of Monte Carlo methods in biology, medicine and other fields of science.
ISBN 9789533074276

 
    
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