LEADER 02298nam0 22004813i 450 001 VAN0249342 005 20230530024126.486 017 70$2N$a9783030412555 100 $a20220829d2020 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aIdentifiability and Regression Analysis of Biological Systems Models$eStatistical and Mathematical Foundations and R Scripts$fPaola Lecca 210 $aCham$cSpringer$d2020 215 $ax, 82 p.$cill.$d24 cm 410 1$1001VAN0102916$12001 $aSpringerBriefs in statistics$1210 $aBerlin [etc.]$cSpringer$d2011- 500 1$3VAN0249343$aIdentifiability and Regression Analysis of Biological Systems Models$92251851 606 $a37N25$xDynamical systems in biology [MSC 2020]$3VANC020364$2MF 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62J05$xLinear regression; mixed models [MSC 2020]$3VANC023156$2MF 606 $a62P10$xApplications of statistics to biology and medical sciences; meta analysis [MSC 2020]$3VANC024649$2MF 606 $a92C45$xKinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020]$3VANC029594$2MF 610 $aFactor analysis$9KW:K 610 $aLatent class models$9KW:K 610 $aModel identifiability$9KW:K 610 $aNetwork inference$9KW:K 610 $aNon-linear dynamics$9KW:K 610 $aParameter inference$9KW:K 610 $aRegression analysis$9KW:K 610 $aSelf-starting models$9KW:K 610 $aStiff dynamics$9KW:K 610 $aSystems biology$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aLecca$bPaola$3VANV203970$0985245 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-41255-5$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0249342 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 4694 $e08eMF4694 20220829 996 $aIdentifiability and Regression Analysis of Biological Systems Models$92251851 997 $aUNICAMPANIA