02286cam a22003255a 45000010009000000050017000090080041000260200027000670200029000940400028001230820019001511000027001702450035001972500012002322600052002443000034002965000024003305040041003545050413003955200804008086500036016126500032016486500032016806510010017126530023017226550024017459420019017699990017017889520155018051745133520150819141932.0120904s2013 caua frb 001 0 eng d a 0124158250 (hardback) a9780124158252 (hardback) aDLCbengcDLCdEG-ScBUE04a519.2222bROS1 aRoss, Sheldon M.9734810aSimulation /cSheldon M. Ross. a5th ed. aSan Diego :bAcademic Press / Elsevier ,c2013. axii, 310 p. :bill. ;c24 cm. aIndex : p. 303-310. aIncludes bibliographical references.8 aMachine generated contents note: Preface; Introduction; Elements of Probability; Random Numbers; Generating Discrete Random Variables; Generating Continuous Random Variables; The Discrete Event Simulation Approach; Statistical Analysis of Simulated Data; Variance Reduction Techniques; Statistical Validation Techniques; Markov Chain Monte Carlo Methods; Some Additional Topics; Exercises; References; Index. a"In formulating a stochastic model to describe a real phenomenon, it used to be that one compromised between choosing a model that is a realistic replica of the actual situation and choosing one whose mathematical analysis is tractable. That is, there did not seem to be any payoff in choosing a model that faithfully conformed to the phenomenon under study if it were not possible to mathematically analyze that model. Similar considerations have led to the concentration on asymptotic or steady-state results as opposed to the more useful ones on transient time. However, the relatively recent advent of fast and inexpensive computational power has opened up another approach--namely, to try to model the phenomenon as faithfully as possible and then to rely on a simulation study to analyze it"-- 0aRandom variables.2BUEsh918426 7aProbabilities.2BUEsh93494 0aComputer simulation.2BUEsh 2BUEsh bCOMSCIcAugust2015 vreading book934232 2ddck519.2 ROS c20521d20493 00102ddc40708BaccahaMAINbMAINc1STd2015-08-16epurchaseg425.00h21759l1o519.2 ROSp000030751r2019-08-04s2015-11-10v531.00w2015-08-16yBB