LEADER 01805nam0 2200373 i 450 001 SUN0115344 005 20180307023954.912 010 $d0.00 017 70$2N$a978-3-319-31822-6 100 $a20180305d2016 |0engc50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $a*Seasonal adjustment methods and real time trend-cycle estimation$fEstela Bee Dagum, Silvia Bianconcini 205 $a[Cham] : Springer, 2016 210 $aXVI$d283 p.$cill. ; 24 cm 215 $aPubblicazione in formato elettronico 410 1$1001SUN0102894$12001 $a*Statistics for social and behavioral sciences$1210 $aBerlin$cSpringer$d1997-. 606 $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998 606 $a62M10$xTime series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]$2MF$3SUNC025079 606 $a62P20$xApplications of statistics to economics [MSC 2020]$2MF$3SUNC026444 606 $a62P25$xApplications of statistics to social sciences [MSC 2020]$2MF$3SUNC031206 606 $a62M20$xInference from stochastic processes and prediction; filtering [MSC 2020]$2MF$3SUNC033691 606 $a91B64$xMacro-economic models (monetary models, models of taxation) [MSC 2020]$2MF$3SUNC034055 620 $aCH$dCham$3SUNL001889 700 1$aBee Dagum$b, Estela$3SUNV089261$0630556 701 1$aBianconcini$b, Silvia$3SUNV089262$0756077 712 $aSpringer$3SUNV000178$4650 801 $aIT$bSOL$c20201026$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-31822-6 912 $aSUN0115344 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 2496 $e15EB 2496 20180305 996 $aSeasonal adjustment methods and real time trend-cycle estimation$91523622 997 $aUNICAMPANIA LEADER 01103nam a2200277 i 4500 001 991000745589707536 005 20020503201122.0 008 940519s1989 us ||| | eng 020 $a0471843377 035 $ab10122989-39ule_inst 035 $aLE02521487$9ExL 040 $aFac. Economia$bita 082 0 $a658.562 100 1 $aRyan, Thomas P$0117276 245 10$aStatistical methods for quality improvement /$cThomas P. Ryan 260 $aNew York :$bWiley,$cc1989 300 $axviii, 446 p. ;$c24 cm 490 0 $aWiley series in probability and mathematical statistics 530 $a2011 edition available via Wiley Platform$uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781118058114 650 4$aControllo di qualità$xMetodi statistici 907 $a.b10122989$b27-04-21$c27-06-02 912 $a991000745589707536 945 $aLE025 ECO 658.5 RYA01.01$g1$i2025000020146$lle025$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10144262$z27-06-02 996 $aStatistical methods for quality improvement$9198805 997 $aUNISALENTO 998 $ale025$b01-01-94$cm$da $e-$feng$gus $h0$i1