| Record ID | ia:stochasticmodels0000heym |
| Source | Internet Archive |
| Download MARC XML | https://archive.org/download/stochasticmodels0000heym/stochasticmodels0000heym_marc.xml |
| Download MARC binary | https://www.archive.org/download/stochasticmodels0000heym/stochasticmodels0000heym_meta.mrc |
LEADER: 00910cam a2200277 a 4500
001 57161
008 810903m19829999nyua b 00110 eng
010 $a 81014322 $o07811659
035 $9AAG-8906
040 $aDLC$cDLC$dXIM
020 $a0070286310 (v. 1)
039 0 $a2$b3$c3$d3$e3
050 0 $aT57.6$b.H49 1982
082 0 $a001.4/24$219
049 $aXIMM$v1
100 1 $aHeyman, Daniel P.
245 10 $aStochastic models in operations research /$cDaniel P. Heyman, Matthew J. Sobel.
260 0 $aNew York :$bMcGraw-Hill,$cc1982-
300 $a v. :$bill. ;$c24 cm.
490 0 $aMcGraw-Hill series in quantitative methods for management
505 1 $av. 1. Stochastic processes and operating characteristics.
504 $aIncludes bibliographies and indexes.
650 0 $aOperations research.
650 0 $aStochastic processes.
650 0 $aStochastic programming.
700 10 $aSobel, Matthew J.