CMS histogram, density estimation and probability plotting routines, with an application to the analysis of the output of a simulation of correlated queue

dc.contributor.advisorLewis, Peter A.W.
dc.contributor.authorDanicas, Georgios Ioannis
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentDepartment of Computer Science
dc.contributor.secondreaderBrown, Gerald G.
dc.dateDecember 1977
dc.date.accessioned2012-11-16T19:14:03Z
dc.date.available2012-11-16T19:14:03Z
dc.date.issued1977-12
dc.description.abstractThe object of this thesis has been twofold. The first object was to develop FORTRAN versions of several existing APL programs which were designed to analyze univariate data. In particular the programs were designed to test for exponentiality and normality of the data and, by sectioning or jackknifing, obtain estimates of sampling variances of sample moments. The second object of the thesis was to use these programs in a simulation study of first-come first-served queues in which the service times and the inter-arrival times are exponentially distributed but dependent. The dependence is introduced by using the mixed moving average autoregressive structure (EARMA (p,q)) for exponential sequences introduced by Lewis and co-workers. Four models of correlated queues a re introduced, giving autocorrelated and cross-correlated service and arrival times in various degrees. The simulation study gives a quantitative idea of the effect of correlation on the mean waiting time and the distribution of the waiting time.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.serviceMajor, Hellenic Armyen_US
dc.description.urihttp://archive.org/details/cmshistogramdens1094518038
dc.identifier.urihttps://hdl.handle.net/10945/18038
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owneren_US
dc.subject.authorHistogramen_US
dc.subject.authorPlotting subroutinesen_US
dc.subject.authorExponential moving average (EMA)en_US
dc.subject.lcshComputer scienceen_US
dc.titleCMS histogram, density estimation and probability plotting routines, with an application to the analysis of the output of a simulation of correlated queueen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameM.S. in Computer Scienceen_US
etd.thesisdegree.nameM.S. in Operations Researchen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
cmshistogramdens00dani.pdf
Size:
12.4 MB
Format:
Adobe Portable Document Format
Collections