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100   $a20110323d2011      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aFundamentals of stochastic networks /$fOliver C. Ibe
205   $a1st edition
210   $aLowell, Mass. $cJohn Wiley & Sons Inc.$dc2011
215   $a1 online resource (309 p.)
300   $aDescription based upon print version of record.
311 08$a9781118065679 
311 08$a1118065670 
320   $aIncludes bibliographical references and index.
327   $aFUNDAMENTALS OF STOCHASTIC NETWORKS; CONTENTS; PREFACE; ACKNOWLEDGMENTS; 1: BASIC CONCEPTS IN PROBABILITY; 2: OVERVIEW OF STOCHASTIC PROCESSES; 3: ELEMENTARY QUEUEING THEORY; 4: ADVANCED QUEUEING THEORY; 5: QUEUEING NETWORKS; 6: APPROXIMATIONS OF QUEUEING SYSTEMS AND NETWORKS; 7: ELEMENTS OF GRAPH THEORY; 8: BAYESIAN NETWORKS; 9: BOOLEAN NETWORKS; 10: RANDOM NETWORKS; REFERENCES; INDEX
330   $aAn interdisciplinary approach to understanding queueing and graphical networks In today's era of interdisciplinary studies and research activities, network models are becoming increasingly important in various areas where they have not regularly been used. Combining techniques from stochastic processes and graph theory to analyze the behavior of networks, Fundamentals of Stochastic Networks provides an interdisciplinary approach by including practical applications of these stochastic networks in various fields of study, from engineering and operations management to communicatio
606   $aQueuing theory
606   $aStochastic analysis
615  0$aQueuing theory.
615  0$aStochastic analysis.
676   $a519.2/2
700   $aIbe$b Oliver C$g(Oliver Chukwudi),$f1947-$0522175
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910139590403321
996   $aFundamentals of stochastic networks$9835539
997   $aUNINA