Transition Matrices of Markov Chains

dc.contributor	Universidade Estadual Paulista (UNESP)
dc.creator	Pegg Jr, Ed
dc.date	2011-05-26T19:51:21Z
dc.date	2011-05-26T19:51:21Z
dc.date	2011-05-26
dc.date.accessioned	2017-04-05T16:52:36Z
dc.date.available	2017-04-05T16:52:36Z
dc.identifier	http://acervodigital.unesp.br/handle/123456789/3299
dc.identifier	http://objetoseducacionais2.mec.gov.br/handle/mec/5571
dc.identifier.uri	http://repositorioslatinoamericanos.uchile.cl/handle/2250/830710
dc.description	Suppose that if it is sunny today, there is a 60% chance it will be sunny tomorrow and that if it is not sunny today, there is a 20% chance it will be sunny tomorrow. Use the four transition probabilities sunny->sunny, sunny->not sunny, not sunny->sunny, and not sunny->not sunny to form the transition matrix K=(a11=0.6, a12=0.2, a21=0.4, a22=0.8)
dc.description	Componente Curricular::Educação Superior::Ciências Exatas e da Terra::Matemática
dc.publisher	Wolfram
dc.relation	TransitionMatricesOfMarkovChains.nbp
dc.rights	Demonstration freeware using Mathematica Player
dc.subject	Álgebra linear
dc.subject	Educação Superior::Ciências Exatas e da Terra::Matemática::Matemática Aplicada
dc.title	Transition Matrices of Markov Chains
dc.type	Software