LEADER 01086cam0-22004091i-450- 001 990001003970403321 005 20060526112211.0 035 $a000100397 035 $aFED01000100397 035 $a(Aleph)000100397FED01 035 $a000100397 100 $a20001205d1960----km-y0itay50------ba 101 0 $aeng 102 $aUS$aGB 105 $ay-------001yy 200 1 $aNaive set theory$fPaul R. Halmos 210 $aPrinceton ; London$cVan Nostrand$d1960 215 $aVII, 104 p.$d24 cm 225 1 $a<>university series in undergraduate mathematics 610 0 $aTeoria degli insiemi 610 0 $aInsiemi 610 0 $aStrutture algebriche 676 $a160 676 $a516 700 1$aHalmos,$bPaul Richard$022815 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001003970403321 952 $a7A-012$b4436$fFI1 952 $a7A-012.001$b8356$fFI1 952 $a26-C-6$b3461$fMA1 952 $aMXXV-A-147$b892$fMAS 959 $aFI1 959 $aMA1 959 $aMAS 996 $aNaive set theory$983058 997 $aUNINA LEADER 02958nam 22006134a 450 001 9910146078403321 005 20170815123333.0 010 $a1-280-26514-0 010 $a9786610265145 010 $a0-471-68653-0 010 $a0-471-68656-5 035 $a(CKB)1000000000018974 035 $a(EBL)221241 035 $a(OCoLC)437143738 035 $a(SSID)ssj0000156152 035 $a(PQKBManifestationID)11946835 035 $a(PQKBTitleCode)TC0000156152 035 $a(PQKBWorkID)10113494 035 $a(PQKB)11146553 035 $a(MiAaPQ)EBC221241 035 $a(EXLCZ)991000000000018974 100 $a20040325d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFlowgraph models for multistate time-to-event data$b[electronic resource] /$fAparna V. Huzurbazar 210 $aHoboken, N.J. $cWiley-Interscience$dc2005 215 $a1 online resource (292 p.) 225 1 $aWiley Series in Probability and Statistics ;$vv.439 300 $aDescription based upon print version of record. 311 $a0-471-26514-4 320 $aIncludes bibliographical references (p. 251-260) and indexes. 327 $aFlowgraph Models for Multistate Time-to-Event Data; Contents; Preface; 1 Multistate Models and Flowgraph Models; 2 Flowgraph Models; 3 Inversion of Flowgraph Moment Generating Functions; 4 Censored Data Histograms; 5 Bayesian Prediction for Flowgraph Models; 6 Computational Implementation of Flowgraph Models; 7 Semi-Markov Processes; 8 Incomplete Data; 9 Flowgraph Models for Queuing Systems; Appendix: Moment Generating Functions; References; Author Index; Subject Index 330 $aA unique introduction to the innovative methodology of statistical flowgraphsThis book offers a practical, application-based approach to flowgraph models for time-to-event data. It clearly shows how this innovative new methodology can be used to analyze data from semi-Markov processes without prior knowledge of stochastic processes--opening the door to interesting applications in survival analysis and reliability as well as stochastic processes.Unlike other books on multistate time-to-event data, this work emphasizes reliability and not just biostatistics, illustrating each method with 410 0$aWiley Series in Probability and Statistics 606 $aFlowgraphs 606 $aStochastic processes 606 $aReliability (Engineering)$xStatistical methods 608 $aElectronic books. 615 0$aFlowgraphs. 615 0$aStochastic processes. 615 0$aReliability (Engineering)$xStatistical methods. 676 $a510.8 676 $a519.542 700 $aHuzurbazar$b Aparna V.$f1966-$0963194 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910146078403321 996 $aFlowgraph models for multistate time-to-event data$92183918 997 $aUNINA