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/>
*Where 'x' is the value of the distribution,'alpha' and 'beta' are the value of the parameters and 'cu' is the logical value like true or false.
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*<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 gamma distribution.
+
*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 α&ß.
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*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.  
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*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 it is TRUE then this function gives the cumulative distribution value or it is FALSE then it gives the probability density function.  
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*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 Gamma(t) = integral 0 to infinity  x^{t-1} e^{-x} dx.  
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*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 (syntax error): {\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

Examples

See Also

References

Bessel Function