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Probability distributions: ems:PointEstimate, ems:UniformDistribution, ems:TriangularDistribution, ems:NormalDistribution, ems:PoissonDistribution, ems:QuantileFunction, ems:CumulativeDistributionFunction


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.


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.


This required property is the expected number of observations of the event, traditionally denoted by the Greek letter lambda.


Poisson Distribution 1

The following resource represents a Poisson distribution with a lambda value of 4:

Listing of Poisson Distribution 1
<?xml version="1.0"?>
<ems:PoissonDistribution xmlns:ems=""
   <ems:lambda rdf:datatype="">4</ems:lambda>


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Topic revision: r6 - 24 Sep 2010 - 15:24:07 - ArthurRyman
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