LEADER 01013cam0-22003251i-450- 001 990006666390403321 005 20111109093927.0 035 $a000666639 035 $aFED01000666639 035 $a(Aleph)000666639FED01 035 $a000666639 100 $a20010426d1999----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aProspetto della penisola salentina$fNicola Maria Cataldi 205 $aRist. anast. 210 $a[Sala bolognese]$cA. Forni$d1999 215 $a192 p., [1] c. di tav.$d22 cm 300 $aRipr. facs. dell'ed.: Lecce, Tip. del Reale ospizio S. Ferdinando, 1857 610 0 $aSalento$aPopoli$aStoria$aOrigini$aSec. 11. 676 $a945.753$v20$zita 700 1$aCataldi,$bNicola Maria$f<1782-1867 ;$csac.>$0248866 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a990006666390403321 952 $aVII D 97$b38654$fFSPBC 959 $aFSPBC 996 $aProspetto della penisola salentina$9612613 997 $aUNINA LEADER 01961nam0 22004333i 450 001 VAN0268509 005 20240321032656.474 017 70$2N$a9781461257523 100 $a20231206d1982 |0itac50 ba 101 $aeng 102 $aUS 105 $a|||| ||||| 200 1 $aFitting Linear Models$eAn Application of Conjugate Gradient Algorithms$fAllen Mclntosh 210 $aNew York$cSpringer-Verlag$d1982 215 $avi, 200 p.$cill.$d24 cm 410 1$1001VAN0001957$12001 $aLecture notes in statistics$1210 $aNew York [etc.]$cSpringer$v10 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a65F15$xNumerical computation of eigenvalues and eigenvectors of matrices [MSC 2020]$3VANC023054$2MF 606 $a62Kxx$xDesign of statistical experiments [MSC 2020]$3VANC023621$2MF 606 $a65Cxx$xProbabilistic methods, stochastic differential equations [MSC 2020]$3VANC028329$2MF 606 $a62Jxx$xLinear inference, regression [MSC 2020]$3VANC028385$2MF 610 $aAlgorithms$9KW:K 610 $aBest fit$9KW:K 610 $aConjugate gradient methods$9KW:K 610 $aFitting$9KW:K 610 $aGeneralized linear Model$9KW:K 610 $aLinear Model$9KW:K 610 $aStatistical experimental design$9KW:K 620 $aUS$dNew York$3VANL000011 700 1$aMclntosh$bAllen$3VANV220498$01448564 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttps://doi.org/10.1007/978-1-4612-5752-3$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 $aVAN0268509 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 7564 $e08eMF7564 20231211 996 $aFitting Linear Models$93643926 997 $aUNICAMPANIA