A and E distributions in random variables and stochastic processes
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.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.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 |
dc.identifier.uri | http://dl.lib.mrt.ac.lk/handle/123/9634 | |
dc.identifier.year | 2007 | 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 |