LEADER 01105nam 2200325Ia 450 001 996385509203316 005 20221108025137.0 035 $a(CKB)4940000000079217 035 $a(EEBO)2240863664 035 $a(OCoLC)12854131 035 $a(EXLCZ)994940000000079217 100 $a19851127d1641 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 10$aGod's Sabbath before, under the law and under the Gospel$b[electronic resource] $ebriefly vindicated from novell and heterodox assertions /$fby Hamon L'Estrange .. 210 $aCambridge [Cambridgeshire] $cPrinted by Roger Daniel ...$d1641 215 $a[16], 136 p 300 $aReproduction of original in Thomason Collection, British Library. 330 $aeebo-0158 606 $aSabbath$xBiblical teaching 615 0$aSabbath$xBiblical teaching. 700 $aL'Estrange$b Hamon$f1605-1660.$01009894 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bWaOLN 906 $aBOOK 912 $a996385509203316 996 $aGods Sabbath before under the law and under the Gospel$92385074 997 $aUNISA LEADER 02384nam 2200553 a 450 001 9910830314503321 005 20230320162638.0 010 $a1-280-85607-6 010 $a9786610856077 010 $a0-470-51509-0 010 $a0-470-51508-2 035 $a(CKB)1000000000357379 035 $a(EBL)292598 035 $a(OCoLC)476052648 035 $a(SSID)ssj0000189258 035 $a(PQKBManifestationID)11196661 035 $a(PQKBTitleCode)TC0000189258 035 $a(PQKBWorkID)10156230 035 $a(PQKB)10469687 035 $a(MiAaPQ)EBC292598 035 $a(EXLCZ)991000000000357379 100 $a20070803d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLarge deviations for Gaussian queues$b[electronic resource] $emodelling communication networks /$fMichel Mandjes 210 $aChichester $cWiley$dc2007 215 $a1 online resource (338 p.) 300 $aDescription based upon print version of record. 311 $a0-470-01523-3 320 $aIncludes bibliographical references and index. 327 $apt. A. Gaussian traffic and large deviations -- pt. B. Large deviations of Gaussian queues -- pt. C. Applications. 330 $aIn recent years the significance of Gaussian processes to communication networks has grown considerably. The inherent flexibility of the Gaussian traffic model enables the analysis, in a single mathematical framework, of systems with both long-range and short-range dependent input streams. Large Deviations for Gaussian Queues demonstrates how the Gaussian traffic model arises naturally, and how the analysis of the corresponding queuing model can be performed. The text provides a general introduction to Gaussian queues, and surveys recent research into the modelling of communications n 606 $aGaussian processes 606 $aTelecommunication$xTraffic$xMathematical models 615 0$aGaussian processes. 615 0$aTelecommunication$xTraffic$xMathematical models. 676 $a519.82 676 $a621.38215015192 700 $aMandjes$b Michel$g(Michael Robertus Hendrikus),$f1970-$0755624 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830314503321 996 $aLarge deviations for Gaussian queues$93951794 997 $aUNINA