Difference between revisions of "Manuals/calci/GAMMAINV"

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*<math>probability</math> is the probability value associated with gamma distribution
 
*<math>probability</math> is the probability value associated with gamma distribution
 
*<math>alpha(\alpha)</math> & <math>beta(\beta)</math> are the values of  the shape and rate parameters.
 
*<math>alpha(\alpha)</math> & <math>beta(\beta)</math> are the values of  the shape and rate parameters.
*<math> accuracy </math> and <math> somenumberofiterations </math> are any positive integers.
+
*<math> accuracy </math> gives accurate value of the solution.
 +
*<math> somenumberofiterations </math> is any positive integer.
 +
**GAMMAINV(),returns the inverse of the gamma cumulative distribution.
  
 
==Description==
 
==Description==
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  1.Any one of the arguments are non-numeric
 
  1.Any one of the arguments are non-numeric
 
  2.<math>alpha \le 0 </math> or <math>beta \le 0 </math>
 
  2.<math>alpha \le 0 </math> or <math>beta \le 0 </math>
  3.<math>prob < 0</math> or <math> prob > 1 </math>
+
  3.<math>probability < 0</math> or <math> probability > 1 </math>
  
 
==Examples==
 
==Examples==

Latest revision as of 17:12, 7 August 2018

GAMMAINV (probability,alpha,beta,accuracy,somenumberofiterations)


  • is the probability value associated with gamma distribution
  • & are the values of the shape and rate parameters.
  • gives accurate value of the solution.
  • is any positive integer.
    • GAMMAINV(),returns the inverse of the gamma cumulative distribution.

Description

  • This function gives the inverse value of Cumulative Gamma Probability Distribution.
  • This distribution is the Continuous Probability Distribution on the positive real line and it is of the reciprocal of a variable distributed according to the gamma distribution with two parameters & .
  • It is used in Bayesian statistics.
  • In , is the probability value associated with Gamma Distribution, is called shape parameter and is the rate parameter of the distribution.
  • If , then .
  • GAMMAINV use the iterating method to find the value of .
  • Suppose the iteration has not converged after 100 searches, then the function gives the error result.
  • This function will give the error result when
1.Any one of the arguments are non-numeric
2. or 
3. or 

Examples

  1. =GAMMAINV(0.65189,2,5) = 11.1335534510
  2. =GAMMAINV(0.006867292,5,7) = 8.155481331
  3. =GAMMAINV(0.1543869,9,3) = 18.0467153645
  4. =GAMMAINV(1,9,3) = 82.51739521528073
  5. =GAMMAINV(1.1,9,3) = NAN, because

Related Videos

GAMMA Distribution

See Also

References

Gamma Distribution