LEADER 01485oam 2200409 450 001 9910703655903321 005 20150529074956.0 035 $a(CKB)5470000002433152 035 $a(OCoLC)905546170 035 $a(EXLCZ)995470000002433152 100 $a20150324d1998 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aGeochemical baselines and processes affecting surface water, Redcloud Peak area, Colorado /$fby William R. Miller 210 1$aDenver, CO :$cU.S. Department of the Interior, U.S. Geological Survey,$d[1998] 215 $a1 online resource (20 pages) $cillustrations 225 1 $aOpen-file report ;$v98-35 300 $aTitle from title screen (viewed Mar. 5, 2015). 320 $aIncludes bibliographical references (pages 19-20). 606 $aGeochemistry$zColorado$zRedcloud Peak Wilderness 606 $aWater chemistry$zColorado$zRedcloud Peak Wilderness$xAnalysis 606 $aWater$zColorado$zRedcloud Peak Wilderness 615 0$aGeochemistry 615 0$aWater chemistry$xAnalysis. 615 0$aWater 700 $aMiller$b W. Roger$g(William Roger),$01381527 712 02$aGeological Survey (U.S.), 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910703655903321 996 $aGeochemical baselines and processes affecting surface water, Redcloud Peak area, Colorado$93437326 997 $aUNINA 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 LEADER 03453nam 2201153z- 450 001 9910557336403321 005 20220111 035 $a(CKB)5400000000042514 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/77134 035 $a(oapen)doab77134 035 $a(EXLCZ)995400000000042514 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHotspots of Subterranean Biodiversity 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (296 p.) 311 08$a3-0365-2359-6 311 08$a3-0365-2360-X 330 $aThere are a total of 22 caves and karst wells with more than 25 specialized species resident (stygobionts and troglobionts). In this Special Issue, 14 of these sites are described in detail, along with the specialized fauna. An additional paper describes the richest known cave in China. A summary paper puts all 22 subterranean biodiversity sites in context. 606 $aEnvironmental economics$2bicssc 606 $aResearch & information: general$2bicssc 610 $aarachnids 610 $aarid zone 610 $aarthropods 610 $abasaltic lava flow 610 $aBayliss Cave 610 $abeta-diversity 610 $abiodiversity 610 $abiogeography 610 $abiospeleology 610 $aCanary Islands 610 $acave 610 $acave biology 610 $acave ecology 610 $acave fauna 610 $acaves 610 $achecklist 610 $achemoautotrophically based 610 $aconservation 610 $aecology 610 $afauna 610 $ageology 610 $agroundwater 610 $agroundwater ecosystem 610 $aGuangxi 610 $ahotspot 610 $ahotspot cave 610 $ahotspot caves 610 $ahotspots 610 $aHuanjiang 610 $ainsects 610 $ainvertebrates 610 $akarst 610 $aKriz?na jama 610 $alava tubes 610 $amillipedes 610 $amining 610 $aMovile Cave 610 $an/a 610 $aOjo Guaren?a natural monument 610 $apaleontology 610 $aphreatic karst aquifer 610 $aPostojna-Planina Cave System 610 $aPsilotum 610 $aRomania 610 $asampling biases 610 $aseamount 610 $aSlovenia 610 $aSouth China Karst 610 $aSoutheast Asia 610 $aspecies richness 610 $aspeleobiology 610 $astygobiont 610 $astygobionts 610 $astygobite 610 $asubterranean biodiversity 610 $atemporal dynamics 610 $atroglobiont 610 $atroglobionts 610 $atroglobitics 610 $atroglomorphy 610 $atropical cave fauna 610 $a?-diversity 615 7$aEnvironmental economics 615 7$aResearch & information: general 700 $aPipan$b Tanja$4edt$01279738 702 $aCulver$b David C$4edt 702 $aDeharveng$b Louis$4edt 702 $aPipan$b Tanja$4oth 702 $aCulver$b David C$4oth 702 $aDeharveng$b Louis$4oth 906 $aBOOK 912 $a9910557336403321 996 $aHotspots of Subterranean Biodiversity$93034737 997 $aUNINA