LEADER 01930oam 2200469I 450 001 9910707239203321 005 20160622074122.0 035 $a(CKB)5470000002463117 035 $a(OCoLC)946822422 035 $a(EXLCZ)995470000002463117 100 $a20160411j20160301 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPerformance analysis of a modular small-diameter air distribution system /$fprepared by: Andrew Poerschke, Armin Rudd ; prepared for: the National Renewable Energy Laboratory on behalf of the U.S. Department of Energy s Building America Program Office of Energy Efficiency and Renewable Energy 210 1$aGolden, CO :$cU.S. Department of Energy, Energy Efficiency & Renewable Energy,$d2016. 215 $a1 online resource (ix, 42 pages) $ccolor illustrations 225 1 $a[NREL/SR ;$v5500-64858] 300 $aTitle from title screen (viewed Apr. 11, 2016). 300 $aNREL technical monitor: Stacey Rothgeb. 300 $a"March 2016." 300 $a"DOE/GO--102016-4751." 320 $aIncludes bibliographical references. 606 $aAir ducts$xEnergy conservation$xResearch 606 $aDwellings$xEnergy conservation$xResearch 615 0$aAir ducts$xEnergy conservation$xResearch. 615 0$aDwellings$xEnergy conservation$xResearch. 700 $aPoerschke$b Andrew$01400981 702 $aRudd$b Armin 712 02$aNational Renewable Energy Laboratory (U.S.), 712 02$aUnited States.$bDepartment of Energy.$bOffice of Energy Efficiency and Renewable Energy, 712 02$aBuilding America (Program : U.S.) 801 0$bLLB 801 1$bLLB 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910707239203321 996 $aPerformance analysis of a modular small-diameter air distribution system$93474592 997 $aUNINA LEADER 01955nam0 2200445 i 450 001 VAN00123399 005 20240806100813.462 017 70$2N$a9783319432526 100 $a20190919d2017 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aElements of nonlinear time series analysis and forecasting$fJan G. De Gooijer 210 $aCham$cSpringer$d2017 215 $aXXI, 618 p.$cill.$d24 cm 410 1$1001VAN00036509$12001 $aSpringer series in statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN00235572$aElements of nonlinear time series analysis and forecasting$91560470 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62Gxx$xNonparametric inference [MSC 2020]$3VANC024592$2MF 606 $a62Mxx$xInference from stochastic processes [MSC 2020]$3VANC020002$2MF 610 $aAR-GARCH model$9KW:K 610 $aARMA model$9KW:K 610 $aFrequency domain tests$9KW:K 610 $aHigh dimensional tests$9KW:K 610 $aModel selection$9KW:K 610 $aNonlinear time series$9KW:K 610 $aNonparametric forecasting$9KW:K 610 $aTests for serial independence$9KW:K 610 $aTime-domain linearity test$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aDe Gooijer$bJan$3VANV094807$0766771 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20241115$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-43252-6$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 $aVAN00123399 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 0635 $e08eMF635 20190919 996 $aElements of nonlinear time series analysis and forecasting$91560470 997 $aUNICAMPANIA