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dc.contributor.authorMcKenzie, Edward
dc.date1983-12
dc.date.accessioned2013-02-27T23:36:25Z
dc.date.available2013-02-27T23:36:25Z
dc.date.issued1983-12
dc.identifier.urihttps://hdl.handle.net/10945/29195
dc.description.abstractTwo stationary first-order autoregressive processes with Beta marginal distributions are presented. They are both linear, additive processes but the coefficients are Beta random variables. Their autocorrelation functions are investigated: One is positive and the other alternates in sign. The usefulness of the models in simulatino is discussed. The Bivariate Beta distributions are two consecutive observations are considered in some detail. Several examples are given, including a Bivariate Uniform process which is also examined in detail. The relationship of these Bivariate Beta distributions to the Dirichelet distribution is discussed.en_US
dc.description.sponsorshipsupported by the Naval Postgraduate School Foundation Research Program under contract with the National Research Council.en_US
dc.description.urihttp://archive.org/details/autoregressivepr00mcke
dc.format.extentNAen_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subject.lcshBETA AUTOREGRESSION.en_US
dc.titleAn autoregressive process for Beta random variablesen_US
dc.typeTechnical Reporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentOperations Research
dc.subject.authorBeta Autoregression, simulation, bivariate Beta distributions, bivariate Uniform distribution, Dirichelet distributionen_US
dc.description.funder61152N; RROOO-01-100 N0001483WR30104en_US
dc.description.recognitionNAen_US
dc.identifier.oclcNA
dc.identifier.npsreportNPS-55-83-037
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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