LEADER 02326nam 2200541Ia 450 001 996201252603316 005 20230213211636.0 010 $a1-282-30765-7 010 $a9786612307652 010 $a0-470-31651-9 010 $a0-470-31722-1 035 $a(CKB)1000000000687557 035 $a(StDuBDS)AH3916602 035 $a(SSID)ssj0000342907 035 $a(PQKBManifestationID)12150692 035 $a(PQKBTitleCode)TC0000342907 035 $a(PQKBWorkID)10289120 035 $a(PQKB)10219673 035 $a(MiAaPQ)EBC469855 035 $a(EXLCZ)991000000000687557 100 $a19831117d1981 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSimulation and the Monte Carlo method$b[electronic resource] /$fReuven Y. Rubinstein 210 $aNew York $cWiley$dc1981 215 $a1 online resource (304 p.) 225 0 $aWiley series in probability and mathematical statistics. Probability and mathematical statistics 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-471-08917-6 320 $aIncludes bibliographies and index. 330 $aProvides simultaneous coverage of statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a spectrum of engineering and scientific problems. This book contains standard material considered in Monte Carlo simulation. 330 $bThis book provides the first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a wide spectrum of engineering and scientific problems. It contains standard material usually considered in Monte Carlo simulation as well as new material such as variance reduction techniques, regenerative simulation, and Monte Carlo optimization. 606 $aMonte Carlo method 606 $aDigital computer simulation 615 0$aMonte Carlo method. 615 0$aDigital computer simulation. 676 $a519.2/82 700 $aRubinstein$b Reuven Y$043545 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996201252603316 996 $aSimulation and the Monte Carlo method$9198228 997 $aUNISA