LEADER 01014nam0-22003371i-450- 001 990000449320403321 005 20140516102846.0 010 $a0-13-004069-X 035 $a000044932 035 $aFED01000044932 035 $a(Aleph)000044932FED01 035 $a000044932 100 $a20020821d1984----km-y0itay50------ba 101 0 $aeng 105 $aa-------001yy 200 1 $aAdaptive filtering prediction and control$fGraham C. Goodwing, Kwai Sang Sin 210 $aN.Y.$cPrentice-Hall$d1984 215 $a540 p.$cill.$d24 cm 225 1 $aPrentice-Hall information and system sciences series 610 0 $aFiltri (Matematica) 610 0 $aSistemi specifici$aSistemi discreti 676 $a003 700 1$aGoodwing,$bGraham C.$0491118 702 1$aSin,$bKwai Sin 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000449320403321 952 $a10 D III 421$b581 DIS$fDINEL 959 $aDINEL 996 $aAdaptive filtering prediction and control$9334002 997 $aUNINA LEADER 00998nam a2200241 a 4500 001 991002096269707536 008 070201s2005 us 000 0 eng d 020 $a1560256974 035 $ab13475150-39ule_inst 040 $aDip. SSC$bita 082 0 $a338. 476 1510973 100 1 $aMoynihan, Ray$0624926 245 10$aSelling Sickness :$bhow the world's biggest pharmaceutical companies are turning US all into patients /$cRay Moynihan and Alan Cassels 260 $aNew York :$bNation Book,$c2005 300 $aXVIII, 254 p. ;$c22 cm 650 4$aIndustria farmaceutica$zStati Uniti d'America 700 1 $aCassels, Alan$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0738517 907 $a.b13475150$b01-02-07$c01-02-07 912 $a991002096269707536 945 $aLE021 SOC25D19$g1$i2021000113819$lle021$nCorliaṇ$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i14357392$z01-02-07 996 $aSelling Sickness$91462766 997 $aUNISALENTO 998 $ale021$b01-02-07$cm$da $e-$feng$gus $h0$i0