Changes

*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(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.  

*If <math>GAMMADIST(x,\alpha,\beta,TRUE)=prob</math>, then <math>GAMMAINV(prob,\alpha,\beta)= x</math>.  

*If <math>GAMMADIST(x,alpha,beta,TRUE)=prob</math>, then <math>GAMMAINV(prob,alpha,beta)= 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.  

*This function will give the error result when   

*This function will give the error result when   

  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>prob < 0</math> or <math> prob > 1 </math>