Manuals/calci/GAMMAINV - Revision history

Devika at 22:12, 7 August 2018

2018-08-07T22:12:31Z

Devika at 21:48, 18 June 2018

2018-06-18T21:48:24Z

Devika: /* Description */

2018-06-06T18:38:28Z

Description

Devika at 18:34, 6 June 2018

2018-06-06T18:34:54Z

Jayaram at 06:06, 13 March 2017

2017-03-13T06:06:08Z

Jayaram at 11:17, 9 March 2017

2017-03-09T11:17:04Z

Swapna at 19:21, 7 June 2015

2015-06-07T19:21:46Z

Abin: /* References */

2013-12-12T04:22:30Z

References

Devika: /* Description */

2013-12-06T05:30:50Z

Description

Abin: /* Description */

2013-12-04T10:29:49Z

Description

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 *<math> accuracy </math> gives accurate value of the solution.
 *<math> somenumberofiterations </math> is any positive integer.
 ==Description==

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 *<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> accuracy </math> and <math> somenumberofiterations </math> are any positive integers.
+*<math> accuracy </math> gives accurate value of the solution.
 ==Description==

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 .Any one of the arguments are non-numeric
 .<math>alpha \le 0 </math> or <math>beta \le 0 </math>
-.<math>prob < 0</math> or <math> prob > 1 </math>
+.<math>probability < 0</math> or <math> probability > 1 </math>
 ==Examples==

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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.
 ==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 <math>\alpha</math> & <math>\beta</math>.
 *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>.
 *Suppose the iteration has not converged after 100 searches, then the function gives the error result.

← Older revision		Revision as of 06:06, 13 March 2017
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−	[[Z_API_Functions \| List of Main Z Functions]]	+	*[[Z_API_Functions \| List of Main Z Functions]]

−	[[ Z3 \| Z3 home ]]	+	*[[ Z3 \| Z3 home ]]

← Older revision		Revision as of 11:17, 9 March 2017
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	==References==		==References==
	[http://en.wikipedia.org/wiki/Gamma_distribution Gamma Distribution]		[http://en.wikipedia.org/wiki/Gamma_distribution Gamma Distribution]
		+
		+
		+	[[Z_API_Functions \| List of Main Z Functions]]
		+
		+	[[ Z3 \| Z3 home ]]

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 #=GAMMAINV(1,9,3) = 82.51739521528073
 #=GAMMAINV(1.1,9,3) = NAN, because <math> prob>1 </math>
 ==See Also==

← Older revision		Revision as of 04:22, 12 December 2013
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	==References==		==References==
−	[http://en.wikipedia.org/wiki/Gamma_distribution\| Gamma Distribution]	+	[http://en.wikipedia.org/wiki/Gamma_distribution Gamma Distribution]

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 *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.
-*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>.
 *Suppose the iteration has not converged after 100 searches, then the function gives the error result.