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dc.contributor.author Jayatilake, UC
dc.date.accessioned 2013-12-27T18:46:17Z
dc.date.available 2013-12-27T18:46:17Z
dc.date.issued 2007
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/9634
dc.description.abstract Here 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.language.iso en en_US
dc.title A and E distributions in random variables and stochastic processes en_US
dc.type Conference-Extended-Abstract en_US
dc.identifier.year 2007 en_US
dc.identifier.conference ERU Research for industry en_US
dc.identifier.pgnos pp. 21-22 en_US
dc.identifier.proceeding Proceeding of the 13th annual symposium en_US


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