04507nam 22006855 450 99641819970331620220627194046.03-030-41255-510.1007/978-3-030-41255-5(CKB)5300000000003484(DE-He213)978-3-030-41255-5(MiAaPQ)EBC6129282(PPN)243226470(EXLCZ)99530000000000348420200305d2020 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierIdentifiability and Regression Analysis of Biological Systems Models[electronic resource] Statistical and Mathematical Foundations and R Scripts /by Paola Lecca1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (X, 82 p. 13 illus., 8 illus. in color.)SpringerBriefs in Statistics,2191-544X3-030-41254-7 1 Complex systems and sets of data -- 2 Dynamic models -- 3 Model identifiability -- 4 Relationships between phenomena -- 5 Codes.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 their own 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 bioinformatics, bioengineering, systems biology, biophysics, biochemistry, the environmental sciences and experimental physics. Readers should be familiar with the fundamentals of probability and statistics (as provided in first-year university courses) and a basic grasp of R.SpringerBriefs in Statistics,2191-544XStatistics Systems biologyBiostatisticsBiomathematicsR (Computer program language)Statistics for Life Sciences, Medicine, Health Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17030Systems Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L15010Biostatisticshttps://scigraph.springernature.com/ontologies/product-market-codes/L15020Statistical Theory and Methodshttps://scigraph.springernature.com/ontologies/product-market-codes/S11001Mathematical and Computational Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/M31000Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Statistics .Systems biology.Biostatistics.Biomathematics.R (Computer program language).Statistics for Life Sciences, Medicine, Health Sciences.Systems Biology.Biostatistics.Statistical Theory and Methods.Mathematical and Computational Biology.Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.572.0727Lecca Paolaauthttp://id.loc.gov/vocabulary/relators/aut985245MiAaPQMiAaPQMiAaPQBOOK996418199703316Identifiability and Regression Analysis of Biological Systems Models2251851UNISA02092nam 2200433Ka 450 991069314000332120050112140030.0(CKB)5470000002360116(OCoLC)57409329ocm57409329(OCoLC)995470000002360116(EXLCZ)99547000000236011620050112d2001 ua 0engtxtrdacontentcrdamediacrrdacarrierEndangered Species Act[electronic resource] implementation plan for the Federal Columbia River Power System /U.S. Department of the Interior, Bureau of Reclamation, U.S. Army Corps of Engineers, North Pacific Division, Bonneville Power AdministrationDraft.[Portland, Or.] :[Federal Caucus],[2001]Title from title screen (viewed on Dec. 27, 2004)."Summer 2001."The Federal Caucus is the name given to the nine Federal agencies that have natural resource responsibilities under the Endangered Species Act. These agencies include: National Marine Fisheries Service; US Fish and Wildlife Service; Bonneville Power Administration; US Army Corps of Engineers; US Bureau of Reclamation; Environmental Protection Agency; US Forest Service; Bureau of Land Management; and the Bureau of Indian Affairs.Endangered Species Act SalmonEffect of dams onColumbia River WatershedDamsEnvironmental aspectsColumbia River WatershedEndangered speciesLaw and legislationUnited StatesSalmonEffect of dams onDamsEnvironmental aspectsEndangered speciesLaw and legislationUnited States.Army.Corps of Engineers.North Pacific Division.United States.Bureau of Reclamation.United States.Bonneville Power Administration.GPOGPOBOOK9910693140003321Endangered Species Act3115853UNINA