02298nam0 22004813i 450 VAN024934220230530024126.486N978303041255520220829d2020 |0itac50 baengCH|||| |||||Identifiability and Regression Analysis of Biological Systems ModelsStatistical and Mathematical Foundations and R ScriptsPaola LeccaChamSpringer2020x, 82 p.ill.24 cm001VAN01029162001 SpringerBriefs in statistics210 Berlin [etc.]Springer2011-VAN0249343Identifiability and Regression Analysis of Biological Systems Models225185137N25Dynamical systems in biology [MSC 2020]VANC020364MF62-XXStatistics [MSC 2020]VANC022998MF62J05Linear regression; mixed models [MSC 2020]VANC023156MF62P10Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]VANC024649MF92C45Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020]VANC029594MFFactor analysisKW:KLatent class modelsKW:KModel identifiabilityKW:KNetwork inferenceKW:KNon-linear dynamicsKW:KParameter inferenceKW:KRegression analysisKW:KSelf-starting modelsKW:KStiff dynamicsKW:KSystems biologyKW:KCHChamVANL001889LeccaPaolaVANV203970985245Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-030-41255-5E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0249342BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 4694 08eMF4694 20220829 Identifiability and Regression Analysis of Biological Systems Models2251851UNICAMPANIA