Difference between revisions of "Manuals/calci/GAMMADIST"
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<div style="font-size:30px">'''GAMMADIST(x,alpha,beta,cu)'''</div><br/> | <div style="font-size:30px">'''GAMMADIST(x,alpha,beta,cu)'''</div><br/> | ||
− | * | + | *<math>x</math> is the value of the distribution, |
+ | *<math>'alpha'</math> and <math>'beta'</math> are the value of the parameters | ||
+ | *<math>cu</math> is the logical value like true or false. | ||
==Description== | ==Description== | ||
− | *This function gives the value of the | + | *This function gives the value of the Gamma Distribution. |
− | *The | + | *The Gamma Distribution can be used in a queuing models like, the amount of rainfall accumulated in a reservoir. *This distribution is the Continuous Probability Distribution with two parameters <math>\alpha & \beta</math>. |
− | *In GAMMADIST(x,alpha,beta,cu), x is the value of the distribution, alpha is called shape parameter and beta is the rate parameter of the distribution and cu is the logical value like TRUE or FALSE. | + | *In GAMMADIST(x,alpha,beta,cu), <math>x</math> is the value of the distribution, <math>\alpha</math> is called shape parameter and <math>beta</math> is the rate parameter of the distribution and <math>cu</math> is the logical value like TRUE or FALSE. |
− | *If | + | *If <math>cu</math> is TRUE, then this function gives the Cumulative Distribution value and if is FALSE then it gives the Probability Density Function. |
− | *The gamma function is defined by | + | *The gamma function is defined by : |
+ | <math>Gamma(t) = \int\limits_{0}^{\infty}x^{t-1} e^{-x} dx</math>. | ||
*And it is for all complex numbers except the negative integers and zero. | *And it is for all complex numbers except the negative integers and zero. | ||
*The probability density function of Gamma function using Shape, rate parameters is: f(x; α,ß)=[x^{α-1} e^-{x/ß}]/ß^α Gamma(α), for x,α &ß>0, where e is the natural number(e=2.71828...), α is the number of occurrences of an event, and Gamma(α) is the Gamma function. | *The probability density function of Gamma function using Shape, rate parameters is: f(x; α,ß)=[x^{α-1} e^-{x/ß}]/ß^α Gamma(α), for x,α &ß>0, where e is the natural number(e=2.71828...), α is the number of occurrences of an event, and Gamma(α) is the Gamma function. |
Revision as of 23:16, 3 December 2013
GAMMADIST(x,alpha,beta,cu)
- is the value of the distribution,
- and are the value of the parameters
- is the logical value like true or false.
Description
- This function gives the value of the Gamma Distribution.
- The Gamma Distribution can be used in a queuing models like, the amount of rainfall accumulated in a reservoir. *This distribution is the Continuous Probability Distribution with two parameters 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 \alpha & \beta} .
- In GAMMADIST(x,alpha,beta,cu), is the value of the distribution, is called shape parameter and is the rate parameter of the distribution and is the logical value like TRUE or FALSE.
- If is TRUE, then this function gives the Cumulative Distribution value and if is FALSE then it gives the Probability Density Function.
- The gamma function is defined by :
.
- And it is for all complex numbers except the negative integers and zero.
- The probability density function of Gamma function using Shape, rate parameters is: f(x; α,ß)=[x^{α-1} e^-{x/ß}]/ß^α Gamma(α), for x,α &ß>0, where e is the natural number(e=2.71828...), α is the number of occurrences of an event, and Gamma(α) is the Gamma function.
- The standard gamma probability density function is: f(x, α)=[x^{α-1} e^-x]/Gamma(α).
- The cumulative distribution function of Gamma is F(x;α,ß)=[Gamma(in symbol V)(α, x/ß)]/Gamma(α), or F(x;α,ß)= e^-{x/ß} Summation i=k to infinity 1/i! (x/ß)^i for any positive integer k.
- When alpha is a positive integer, then the distribution is called Erlang distribution.
- If the shape parameter α is held fixed, the resulting one-parameter family of distributions is a natural exponential family.
- For a positive integer n, when alpha = n/2, beta = 2, and cu= TRUE, GAMMADIST returns (1 - CHIDIST(x)) with n degrees of freedom.
- This function shows the result as error when 1.Any one of the argument is non numeric
2. x<0, alpha<=0 or beta<=0