A and E distributions in random variables and stochastic processes

dc.contributor.authorJayatilake, UC
dc.date.accessioned2013-12-27T18:46:17Z
dc.date.available2013-12-27T18:46:17Z
dc.date.issued2007
dc.description.abstractHere the author shows how to remove the inconsistencies in Random Variable theory by introducing the i1 and E distributions. The i1 distribution is proposed for random variables representing definitely occurring events. The E distribution is introduced to describe impossible events. This distribution is used for defining Stochastic Processes. The theory which is explained for continuous random variables can be easily adapted for discrete random variables.en_US
dc.identifier.conferenceERU Research for industryen_US
dc.identifier.pgnospp. 21-22en_US
dc.identifier.proceedingProceeding of the 13th annual symposiumen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/9634
dc.identifier.year2007en_US
dc.language.isoenen_US
dc.titleA and E distributions in random variables and stochastic processesen_US
dc.typeConference-Extended-Abstracten_US

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