LEADER 01721oam 2200445 450 001 9910716724803321 005 20210830125731.0 035 $a(CKB)5470000002524930 035 $a(OCoLC)1159597630 035 $a(EXLCZ)995470000002524930 100 $a20200623d1937 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCompression-ignition engine performance at altitudes and at various air pressures and temperatures /$fby Charles S. Moore and John H. Collins, Jr 210 1$aWashington, [D.C.] :$cNational Advisory Committee for Aeronautics,$d1937. 215 $a1 online resource (18 pages, 21 unnumbered pages) $cillustrations 225 1 $aTechnical note / National Advisory Committee for Aeronautics ;$vNo. 619 300 $a"November 1937." 300 $aNo Federal Depository Library Program (FDLP) item number. 320 $aIncludes bibliographical references (page 18). 606 $aAirplanes$xMotors (Diesel)$xTesting 606 $aAltitudes$xMeasurement$xExperiments 606 $aInternal combustion engines 615 0$aAirplanes$xMotors (Diesel)$xTesting. 615 0$aAltitudes$xMeasurement$xExperiments. 615 0$aInternal combustion engines. 700 $aMoore$b Charles S.$055569 702 $aCollins$b John H. 712 02$aUnited States.$bNational Advisory Committee for Aeronautics, 801 0$bTRAAL 801 1$bTRAAL 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910716724803321 996 $aCompression-ignition engine performance at altitudes and at various air pressures and temperatures$93534462 997 $aUNINA LEADER 02536nam0 2200553 i 450 001 VAN0123779 005 20230704120300.817 017 70$2N$a9783319524528 100 $a20191002d2017 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aTime series analysis and its applications$ewith R examples$fRobert H. Shumway, David S. Stoffer 205 $a4. ed 210 $aCham$cSpringer$d2017 215 $axiii, 562 p.$cill.$d24 cm 410 1$1001VAN0036791$12001 $aSpringer texts in statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0236056$aTime series analysis and its applications$9627543 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62M10$xTime series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020]$3VANC025079$2MF 606 $a62P12$xApplications of statistics to environmental and related topics [MSC 2020]$3VANC033424$2MF 606 $a62M20$xInference from stochastic processes and prediction; filtering [MSC 2020]$3VANC033691$2MF 606 $a62-08$xComputational methods for problems pertaining to statistics [MSC 2020]$3VANC035191$2MF 610 $aARIMA models$9KW:K 610 $aCategorical time series analysis$9KW:K 610 $aDynamic linear models$9KW:K 610 $aGARCH models$9KW:K 610 $aLong memory series$9KW:K 610 $aMarkov chain Monte Carlo integration method$9KW:K 610 $aMultivariate spectral methods$9KW:K 610 $aNonlinear models$9KW:K 610 $aR package$9KW:K 610 $aResampling techniques$9KW:K 610 $aSpectral Analysis$9KW:K 610 $aState-space analysis$9KW:K 610 $aStochastic volatility$9KW:K 610 $aWavelets integration method$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aShumway$bRobert H.$3VANV054038$0249361 701 1$aStoffer$bDavid S.$3VANV054039$0254812 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-319-52452-8$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 $aVAN0123779 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 0950 $e08eMF950 20191002 996 $aTime series analysis and its applications$9627543 997 $aUNICAMPANIA