Difference between revisions of "Manuals/calci/LOGINV"

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<div style="font-size:30px">'''LOGINV(prob,m,sd)'''</div><br/>
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<div style="font-size:25px">'''LOGINV (probability,mean,standard_dev,accuracy,somenormdistaccuracy,recursivelimit)'''</div><br/>
*<math>prob</math>is the probability associated with lognormal distribution
+
 
*<math>m</math>is the mean value of ln(x)
+
*<math>probability</math> is the probability associated with lognormal distribution
*<math>sd</math>is the standard deviation of ln(x)
+
*<math>mean</math> is the mean value of ln(x)
 +
*<math>standarddev</math> is the standard deviation of ln(x).
 +
*<math>accuracy</math> gives accurate value of the solution.
 +
**LOGINV(), returns the inverse of the lognormal distribution.
 +
 
 
==Description==
 
==Description==
*This function gives the inverse value of lognormal  cumulative distribution.
+
*This function gives the inverse value of Log-normal Cumulative Distribution.
*This  distribution is the continuous probability distribution.  
+
*This  distribution is the Continuous Probability Distribution.  
*Lognomal distribution is also called Galton's distribution.
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*Log-normal Distribution is also called Galton's distribution.
 
*A random variable which is log-normally distributed takes only positive real values.
 
*A random variable which is log-normally distributed takes only positive real values.
*If LOGNORMDIST(x,m,sd)=prob, then LOGINV(prob,m,d)=x.  
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*If <math>LOGNORMDIST (Number,Mean,StandardDeviation,Accuracy)=probability</math>,  
 +
then <math>LOGINV (probability,mean,standarddev,accuracy,somenormdistaccuracy,recursivelimit)=x</math>.  
 
*This function will give the result as error when  
 
*This function will give the result as error when  
#Any one of the argument is nonnumeric.
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Any one of the argument is non-numeric.
#prob<0 or prob>1 or sd<=0
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<math>probability<0</math> or <math>probability>1</math> or <math>standarddev \le 0</math>
 +
 
 +
==ZOS==
 +
*The syntax is to calculate Log normal distribution in ZOS is <math>LOGINV (probability,mean,standarddev,accuracy,somenormdistaccuracy,recursivelimit)</math>
 +
**<math>probability</math> is the probability associated with lognormal distribution
 +
**<math>mean</math> is the mean value of ln(x)
 +
**<math>standarddev</math> is the standard deviation of ln(x).
 +
**<math>accuracy</math> gives accurate value of the solution.
  
 
==Examples==
 
==Examples==
  
#LOGINV(0.039084,3.5,1.2)=4.000025219  (EXCEL)=3.9957031(CALCI)
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#LOGINV(0.039084,3.5,1.2) = 3.9957031
#LOGINV(0.24786,6.25,3.12)=61.83892171  (EXCEL)=NULL(CALCI)                                                 
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#LOGINV(0.039084,3.5,1.2,0.02,0.4) = 3.5
#LOGINV(0.007543,5.82,2.9) =0.292909096(EXCEL)=NULL(CALCI)
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#LOGINV(0.039084,3.5,1.2,0.02,0.9) = 5.525
 +
#LOGINV(0.24786,6.25,3.12) = NULL                                              
 +
#LOGINV(0.007543,5.82,2.9) = NULL
 +
 
 +
==Related Videos==
 +
 
 +
{{#ev:youtube|9rMpraPPQ2A|280|center|Log-Normal Distribution}}
  
 
==See Also==
 
==See Also==
 +
*[[Manuals/calci/LOG | LOG]]
 +
*[[Manuals/calci/EXP | EXP]]
 +
*[[Manuals/calci/LN  | LN]]
  
 
==References==
 
==References==
[http://en.wikipedia.org/wiki/Bessel_function Bessel Function]
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[http://en.wikipedia.org/wiki/Log-normal_distribution Log-normal Distribution]
 +
 
 +
 
 +
*[[Z_API_Functions | List of Main Z Functions]]
 +
 
 +
*[[ Z3 |  Z3 home ]]

Latest revision as of 17:25, 7 August 2018

LOGINV (probability,mean,standard_dev,accuracy,somenormdistaccuracy,recursivelimit)


  • is the probability associated with lognormal distribution
  • is the mean value of ln(x)
  • is the standard deviation of ln(x).
  • gives accurate value of the solution.
    • LOGINV(), returns the inverse of the lognormal distribution.

Description

  • This function gives the inverse value of Log-normal Cumulative Distribution.
  • This distribution is the Continuous Probability Distribution.
  • Log-normal Distribution is also called Galton's distribution.
  • A random variable which is log-normally distributed takes only positive real values.
  • If ,

then .

  • This function will give the result as error when
Any one of the argument is non-numeric.
 or  or 

ZOS

  • The syntax is to calculate Log normal distribution in ZOS is
    • is the probability associated with lognormal distribution
    • is the mean value of ln(x)
    • is the standard deviation of ln(x).
    • gives accurate value of the solution.

Examples

  1. LOGINV(0.039084,3.5,1.2) = 3.9957031
  2. LOGINV(0.039084,3.5,1.2,0.02,0.4) = 3.5
  3. LOGINV(0.039084,3.5,1.2,0.02,0.9) = 5.525
  4. LOGINV(0.24786,6.25,3.12) = NULL
  5. LOGINV(0.007543,5.82,2.9) = NULL

Related Videos

Log-Normal Distribution

See Also

References

Log-normal Distribution