LEADER 01806oam 2200481I 450 001 9910707137603321 005 20160506145104.0 035 $a(CKB)5470000002462123 035 $a(OCoLC)703645461 035 $a(EXLCZ)995470000002462123 100 $a20110225j199610 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAcoustic emission monitoring of the DC-XA composite liquid hydrogen tank during structural testing /$fC. Wilkerson 210 1$aMSFC, Alabama :$cNational Aeronautics and Space Administration, Marshall Space Flight Center,$dOctober 1996. 215 $a1 online resource (iv, 6 pages) $cillustrations 225 1 $aNASA technical memorandum ;$v108520 300 $aTitle from title screen (viewed May 6, 2016). 300 $a"October 1996." 300 $a"Performing organization: George C. Marshall Space Flight Center, Marshall Space Flight Center, Alabama"--Report documentation page. 606 $aAcoustic emission$2nasat 606 $aCompression loads$2nasat 606 $aFuel tanks$2nasat 606 $aStructural failure$2nasat 606 $aTensile strength$2nasat 615 7$aAcoustic emission. 615 7$aCompression loads. 615 7$aFuel tanks. 615 7$aStructural failure. 615 7$aTensile strength. 700 $aWilkerson$b C.$01400887 712 02$aGeorge C. Marshall Space Flight Center, 712 02$aUnited States.$bNational Aeronautics and Space Administration, 801 0$bSSM 801 1$bSSM 801 2$bGPO 906 $aBOOK 912 $a9910707137603321 996 $aAcoustic emission monitoring of the DC-XA composite liquid hydrogen tank during structural testing$93468578 997 $aUNINA LEADER 03892nam 2201045z- 450 001 9910557759303321 005 20210501 035 $a(CKB)5400000000045769 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68569 035 $a(oapen)doab68569 035 $a(EXLCZ)995400000000045769 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aApplications of Information Theory to Epidemiology 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (238 p.) 311 08$a3-0365-0316-1 311 08$a3-0365-0317-X 330 $a? Applications of Information Theory to Epidemiology collects recent research findings on the analysis of diagnostic information and epidemic dynamics. ? The collection includes an outstanding new review article by William Benish, providing both a historical overview and new insights. ? In research articles, disease diagnosis and disease dynamics are viewed from both clinical medicine and plant pathology perspectives. Both theory and applications are discussed. ? New theory is presented, particularly in the area of diagnostic decision-making taking account of predictive values, via developments of the predictive receiver operating characteristic curve. ? New applications of information theory to the analysis of observational studies of disease dynamics in both human and plant populations are presented. 606 $aBiology, life sciences$2bicssc 606 $aResearch & information: general$2bicssc 610 $aAsiatic citrus canker 610 $aAtangana-Baleanu derivative 610 $aaverage mutual information 610 $abalance 610 $aBayes' rule 610 $abinormal 610 $aCaputo derivative 610 $aCaputo-Fabrizio derivative 610 $adeployment 610 $adeterministic dynamics 610 $adiagnostic information 610 $adiagnostic test 610 $adirect assay 610 $aearly detection 610 $aEbola model 610 $aempirical 610 $aentropy 610 $aepidemic model 610 $aevaluation 610 $aexpected mutual information 610 $afield diagnostic 610 $aFisher scoring algorithm 610 $aforecast 610 $aHIV/AIDS epidemic 610 $ainformation theory 610 $aJensen-Shannon divergence 610 $alatent class 610 $aleaf plot 610 $alikelihood ratio 610 $amultiple diagnostic tests 610 $amutual information 610 $an/a 610 $anegative predictive value 610 $aNewton-Raphson procedure 610 $anumerical results 610 $aobservational study 610 $apositive predictive value 610 $apredictive ROC curve 610 $aprevalence 610 $aprobability 610 $aPROC curve 610 $aPV-ROC curve 610 $aregression model 610 $arelative entropy 610 $aROC curve 610 $ascent signature 610 $aselection bias 610 $asensitivity 610 $aShannon entropy 610 $aspecificity 610 $aSS-ROC curve 610 $aSS/PV-ROC plot 610 $astochastic processes 610 $atime series 610 $atransient behavior 610 $aurinary bladder cancer 610 $avaccination and treatment intervention controls 615 7$aBiology, life sciences 615 7$aResearch & information: general 700 $aHughes$b Gareth$4edt$01299456 702 $aHughes$b Gareth$4oth 906 $aBOOK 912 $a9910557759303321 996 $aApplications of Information Theory to Epidemiology$93025186 997 $aUNINA LEADER 01282nam0 22003373i 450 001 CFI0656702 005 20251003044144.0 010 $a0127519661 010 $a9780127519661 100 $a20111114d2006 ||||0itac50 ba 101 | $aeng 102 $anl 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aStatistical methods in the atmospheric sciences$fD. S. Wilks 205 $a2. ed 210 $aAmsterdam [etc.]$cElsevier$d[2006] 215 $aXIII, 627 p.$cill.$d27 cm. 225 | $aInternational geophysics series$v91 410 0$1001CFI0064521$12001 $aInternational geophysics series$v91 676 $a551.5$9Meteorologia$v14 676 $a551.5$9METEOROLOGIA$v22 700 1$aWilks$b, Daniel S.$3CFIV148730$4070$0447693 801 3$aIT$bIT-000000$c20111114 850 $aIT-BN0095 901 $bNAP 01$cTEDASS $nex Centro interdipartimentale sulle alte tecnologie per la diagnostica ambientale e lo sviluppo sostenibile 912 $aCFI0656702 950 0$aBiblioteca Centralizzata di Ateneo$c1 v.$d 01TEDASS 551.5 WIL.st$e 0102 0000088075 VMA FD 1 v.$fY $h20111103$i20111114 977 $a 01 996 $aStatistical methods in the atmospheric sciences$9104993 997 $aUNISANNIO