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LEADER 01564cam 2200409 a 4500

001 ocm07811659;

005 20141212055145.0;

008 810903m19821984nyua b 001 0 eng ;

010 a| 81014322;

019 a| 10289475;

020 a| 0070286310 (v. 1);

020 a| 0070286329 (v. 2);

035 a| (Sirsi) o07811659;

035 a| (OCoLC)7811659;

040 a| DLCc| DLCd| EREd| UtOrBLW;

049 a| EREEa| EREE;

050 00 a| T57.6b| .H49 1982;

082 0 a| 001.4/242| 19;

100 1 a| Heyman, Daniel P.=| ^A173856;

245 10 a| Stochastic models in operations research /c| Daniel P. Heyman, Matthew J. Sobel.;

300 a| 2 volumes :b| illustrations ;c| 25 cm.;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

490 1 a| McGraw-Hill series in quantitative methods for management;

504 a| Includes bibliographies and indexes.;

505 0 a| v. 1. Stochastic processes and operating characteristics -- v. 2. Stochastic optimization.;

650 0 a| Operations research.=| ^A5426;

650 0 a| Stochastic processes.=| ^A5552;

650 0 a| Stochastic programming.=| ^A90340;

700 1 a| Sobel, Matthew J.=| ^A173857;

830 0 a| McGraw-Hill series in quantitative methods for management.=| ^A632161;

919 a| BOOK;

596 a| 1;

998 a| 240361;

999 a| T57.6 .H49 1982 V. 2w| LCc| 1i| 30372003196729d| 11/12/2012e| 3/25/2003f| 11/12/2012g| 1l| JGESm| JOYNERn| 1r| Ys| Yt| JGESBKu| 2/28/1989x| BOOKz| JSTACKSo| .STAFF. 0o| .STAFF. Copy Statement : v.2 c.1;

Stochastic models in operations research / Daniel P. Heyman, Matthew J. Sobel.

Author/creator	Heyman, Daniel P.
Other author	Sobel, Matthew J.
Format	Book
Publication Info	New York : McGraw-Hill, ©1982-©1984.
Description	2 volumes : illustrations ; 25 cm.
Subjects	Operations research. Stochastic processes. Stochastic programming.

Series	McGraw-Hill series in quantitative methods for management McGraw-Hill series in quantitative methods for management. ^A632161
Contents	v. 1. Stochastic processes and operating characteristics -- v. 2. Stochastic optimization.
Bibliography note	Includes bibliographies and indexes.
LCCN	81014322
ISBN	0070286310 (v. 1)
ISBN	0070286329 (v. 2)

Stochastic models in operations research / Daniel P. Heyman, Matthew J. Sobel.

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