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- Set_estimation abstract "Set-membership approachIn statistics, a random vector x is classically represented by a probability density function. In a set-membership approach, xis represented by a set X to which x is assumed to belong.It means that the support of the probability distribution function of x is included inside X.On the one hand, representing random vectors by sets makes it possibleto provide less assumptions on the random variables (such as independence)and dealing with nonlinearities is easier. On the other hand, a probability distribution function providesa more accurate information than a set enclosing its support.".
- Set_estimation wikiPageID "39284847".
- Set_estimation wikiPageRevisionID "561739156".
- Set_estimation subject Category:Estimation_theory.
- Set_estimation subject Category:Statistical_inference.
- Set_estimation comment "Set-membership approachIn statistics, a random vector x is classically represented by a probability density function. In a set-membership approach, xis represented by a set X to which x is assumed to belong.It means that the support of the probability distribution function of x is included inside X.On the one hand, representing random vectors by sets makes it possibleto provide less assumptions on the random variables (such as independence)and dealing with nonlinearities is easier.".
- Set_estimation label "Set estimation".
- Set_estimation sameAs m.0t_fbbr.
- Set_estimation sameAs Q16000320.
- Set_estimation sameAs Q16000320.
- Set_estimation wasDerivedFrom Set_estimation?oldid=561739156.
- Set_estimation isPrimaryTopicOf Set_estimation.