ems:PoissonDistribution

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

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:

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

<?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>

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