Titlebook: Identifiability and Regression Analysis of Biological Systems Models; Statistical and Math Paola Lecca Book 20201st edition The Author(s),

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The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

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Identifiability and Regression Analysis of Biological Systems Models978-3-030-41255-5Series ISSN 2191-544X Series E-ISSN 2191-5458

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Paola LeccaPresents advanced techniques for the identifiability analysis, standard and robust regression analysis of complex dynamical models.Illustrated with a wealth of real-world examples.Provides exercises a

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SpringerBriefs in Statisticshttp://image.papertrans.cn/i/image/460812.jpg

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Book 20201st editionon analysis of complex dynamical models. The book first provides a definition of complexity in dynamic systems by introducing readers to the concepts of system size, density of interactions, stiff dynamics, and hybrid nature of determination. In turn, it presents the mathematical foundations of and

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Rechtssubjekte und Rechtsobjekte 20 residual blocks to 40 residual blocks for . Go, the results show that the best performing extension scheme is able to obtain 61.69% win rate against the unextended player (20 blocks) while greatly saving the time for self-play.