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<div style="font-size:30px">'''GAMMAINV(prob,alpha,beta)'''</div><br/>
<div style="font-size:30px">'''GAMMAINV (probability,alpha,beta,accuracy,somenumberofiterations)'''</div><br/>
*<math>prob</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.
==Description==
==Description==
*This function gives the inverse value of Cumulative Gamma Probability Distribution.
*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 <math>\alpha</math> & <math>\beta</math>.
*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 <math>\alpha</math> & <math>\beta</math>.
*It is used in Bayesian statistics.
*It is used in Bayesian statistics.
*In <math>GAMMAINV(prob,alpha,beta)</math> , <math>prob</math> is the probability value associated with Gamma Distribution,<math>alpha</math> is called shape parameter and <math>beta</math> is the rate parameter of the distribution.
*In <math>GAMMAINV (probability,alpha,beta,accuracy,somenumberofiterations)</math> , <math> probability </math> is the probability value associated with Gamma Distribution,<math>alpha</math> is called shape parameter and <math>beta</math> is the rate parameter of the distribution.
*If <math>GAMMADIST(x,alpha,beta,TRUE)=prob</math>, then <math>GAMMAINV(prob,alpha,beta)= x</math>.
*If <math>GAMMADIST (x,alpha,beta,cumulative,accuracy)=prob</math>, then <math>GAMMAINV (probability,alpha,beta,accuracy,somenumberofiterations)= x</math>.
*GAMMAINV use the iterating method to find the value of <math>x</math>.
*GAMMAINV use the iterating method to find the value of <math>x</math>.
*Suppose the iteration has not converged after 100 searches, then the function gives the error result.
*Suppose the iteration has not converged after 100 searches, then the function gives the error result.