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MetricsEmsPoissonDistribution
(24 Sep 2010,
ArthurRyman
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---+ ems:PoissonDistribution Probability distributions: [[MetricsEmsPointEstimate][ems:PointEstimate]], [[MetricsEmsUniformDistribution][ems:UniformDistribution]], [[MetricsEmsTriangularDistribution][ems:TriangularDistribution]], [[MetricsEmsNormalDistribution][ems:NormalDistribution]], [[MetricsEmsPoissonDistribution][ems:PoissonDistribution]], [[MetricsEmsQuantileFunction][ems:QuantileFunction]], [[MetricsEmsCumulativeDistributionFunction][ems:CumulativeDistributionFunction]] %TOC% ---++ Description The Poisson distribution describes the number of independent, rarely occuring events that are observed in a given time interval. For example, defect arrivals or build failures could be estimated using this distribution. An ems:PoissonDistribution resource represents a Poisson distribution. ---++ Properties An ems:PoissonDistribution has the following property: | *Property* | *Range* | *Type* | *Occurrence* | *Edits* | *Description* | | ems:lambda | datatype | xsd:double | exactly-one | read-write | The expected number of occurences. | ---+++ ems:lambda This required property is the expected number of observations of the event, traditionally denoted by the Greek letter lambda. ---++ Examples ---+++ Poisson Distribution 1 The following resource represents a Poisson distribution with a lambda value of 4: ---++++++ Listing of Poisson Distribution 1 <blockquote><verbatim><?xml version="1.0"?> <ems:PoissonDistribution xmlns:ems="http://open-services.net/ns/ems#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"> <ems:lambda rdf:datatype="http://www.w3.org/2001/XMLSchema#double">4</ems:lambda> </ems:PoissonDistribution> </verbatim></blockquote> ---++ Comments Add your comments here: %COMMENT%
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Topic revision: r6 - 24 Sep 2010 - 15:24:07 -
ArthurRyman
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