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

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发表于 2025-3-21 16:17:44 | 显示全部楼层 |阅读模式
书目名称Identifiability and Regression Analysis of Biological Systems Models
副标题Statistical and Math
编辑Paola Lecca
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概述Presents 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
丛书名称SpringerBriefs in Statistics
图书封面Titlebook: Identifiability and Regression Analysis of Biological Systems Models; Statistical and Math Paola Lecca Book 20201st edition The Author(s),
描述.This richly illustrated book presents the objectives of, and the latest techniques for, the identifiability analysis and standard and robust regression 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 algorithmic procedures for model structural and practical identifiability analysis, multilinear and non-linear regression analysis, and best predictor selection..Although the main fields of application discussed in the book are biochemistry and systems biology, the methodologies described can also be employed in other disciplines such as physics and the environmental sciences. Readers will learn how to deal with problems such as determining the identifiability conditions, searching for an identifiable model, and conducting theirown regression analysis and diagnostics without supervision. . .Featuring a wealth of real-world examples, exercises, and codes in R, the book addresses the needs of doctoral students and researchers in bioinformatic
出版日期Book 20201st edition
关键词Model identifiability; Regression analysis; Stiff dynamics; Non-linear dynamics; Parameter inference; Sel
版次1
doihttps://doi.org/10.1007/978-3-030-41255-5
isbn_ebook978-3-030-41255-5Series ISSN 2191-544X Series E-ISSN 2191-5458
issn_series 2191-544X
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2020
The information of publication is updating

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发表于 2025-3-22 00:05:11 | 显示全部楼层
Book 20201st editiondentifiability conditions, searching for an identifiable model, and conducting theirown regression analysis and diagnostics without supervision. . .Featuring a wealth of real-world examples, exercises, and codes in R, the book addresses the needs of doctoral students and researchers in bioinformatic
发表于 2025-3-22 02:17:26 | 显示全部楼层
materials, carbonised cellulose, and biomedical applications...First hand information from theleading researchers distinguishes this work from other books on cellulose..978-90-481-7344-0978-1-4020-5380-1
发表于 2025-3-22 06:09:08 | 显示全部楼层
发表于 2025-3-22 10:05:23 | 显示全部楼层
Paola Lecca materials, carbonised cellulose, and biomedical applications...First hand information from theleading researchers distinguishes this work from other books on cellulose..978-90-481-7344-0978-1-4020-5380-1
发表于 2025-3-22 16:55:09 | 显示全部楼层
发表于 2025-3-22 19:22:19 | 显示全部楼层
Paola Lecca materials, carbonised cellulose, and biomedical applications...First hand information from theleading researchers distinguishes this work from other books on cellulose..978-90-481-7344-0978-1-4020-5380-1
发表于 2025-3-22 22:56:24 | 显示全部楼层
发表于 2025-3-23 02:39:03 | 显示全部楼层
Model Identifiability,ther or not parameters can be identified from a given model structure and experimental measurements. Since experimental data are usually affected by uncertainties, this question is known as .. Non-identifiability of parameters induces non-observability of trajectories, reducing the predictive power
发表于 2025-3-23 08:52:41 | 显示全部楼层
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