Difference between revisions of "Manuals/calci/poisson"
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*If it is TRUE, this function will give the cumulative Poisson probability with the number of random events between 0 and x(included). | *If it is TRUE, this function will give the cumulative Poisson probability with the number of random events between 0 and x(included). | ||
*If it is FALSE,this function will give the Poisson probability mass function with the number of events occuring will be exactly x. | *If it is FALSE,this function will give the Poisson probability mass function with the number of events occuring will be exactly x. | ||
| − | *The | + | *The <math>POISSON </math>probability mass function is: <math> f(x,\lambda)=\frac{\lambda^x.e^{-\lambda}}{x!}</math>, x=0,1,2,...where <math> \lambda </math>is the shape parameter and <math>\lambda</math>>0.e is the base of the natural logarithm (e=2.718282). |
*The cumulative Poisson probability function is:<math>F(k,\lambda)=\sum_{k=0}^x \frac{e^{-\lambda} .\lambda^k}{k!}</math>. | *The cumulative Poisson probability function is:<math>F(k,\lambda)=\sum_{k=0}^x \frac{e^{-\lambda} .\lambda^k}{k!}</math>. | ||
*This function will return the result as error when | *This function will return the result as error when | ||
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2.x<0 or m<0. | 2.x<0 or m<0. | ||
| − | + | ==Examples== | |
| + | #POISSON(6,2,TRUE)=0.995466194 | ||
| + | #POISSON(6,2,FALSE)=0.012029803 | ||
| + | #POISSON(10.2,7,TRUE)=0.901479206 | ||
| + | #POISSON(10.2,7,FALSE)=0.070983269 | ||
| + | #POISSON(6,0,TRUE)=1 | ||
| − | + | ==See Also== | |
| + | *[[Manuals/calci/EXPONDIST | EXPONDIST ]] | ||
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| − | + | ==References== | |
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Revision as of 02:30, 6 January 2014
POISSON(x,m,cu)
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle x} is the number of events.
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle m } is the mean
- Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle cu} is the logical value like TRUE or FALSE.
Description
- This function gives the value of the Poisson distribution.
- The Poisson distribution is a discrete probability distribution for the counts of events that occur randomly in a given interval of time.
- It is is used to model the number of events occurring within a given time interval.
- In Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle POISSON(x,m,cu), x } is the number of events in a given interval of time, Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle m } is the Average numeric value and Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle cu } is the logical value.
- If it is TRUE, this function will give the cumulative Poisson probability with the number of random events between 0 and x(included).
- If it is FALSE,this function will give the Poisson probability mass function with the number of events occuring will be exactly x.
- The Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle POISSON } probability mass function is: Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle f(x,\lambda)=\frac{\lambda^x.e^{-\lambda}}{x!}} , x=0,1,2,...where Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \lambda } is the shape parameter and Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle \lambda} >0.e is the base of the natural logarithm (e=2.718282).
- The cumulative Poisson probability function is:Failed to parse (MathML with SVG or PNG fallback (recommended for modern browsers and accessibility tools): Invalid response ("Math extension cannot connect to Restbase.") from server "https://wikimedia.org/api/rest_v1/":): {\displaystyle F(k,\lambda)=\sum_{k=0}^x \frac{e^{-\lambda} .\lambda^k}{k!}} .
- This function will return the result as error when
1.x or m is nonnumeric. 2.x<0 or m<0.
Examples
- POISSON(6,2,TRUE)=0.995466194
- POISSON(6,2,FALSE)=0.012029803
- POISSON(10.2,7,TRUE)=0.901479206
- POISSON(10.2,7,FALSE)=0.070983269
- POISSON(6,0,TRUE)=1
See Also