Difference between revisions of "Manuals/calci/LOGINV"

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(Created page with "<div id="6SpaceContent" class="zcontent" align="left"> '''LOGINV '''('''p''',''' m, sd''') '''Where p'''   is a lognormal distribution and m   is the mean of ln(x), ...")
 
 
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<div style="font-size:25px">'''LOGINV (probability,mean,standard_dev,accuracy,somenormdistaccuracy,recursivelimit)'''</div><br/>
  
'''LOGINV '''('''p''',''' m, sd''')
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*<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.
 +
**LOGINV(), returns the inverse of the lognormal distribution.
  
'''Where p'''   is a lognormal distribution and m   is the mean of ln(x), and sd   is the standard deviation of ln(x).
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==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 <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
 +
Any one of the argument is non-numeric.
 +
<math>probability<0</math> or <math>probability>1</math> or <math>standarddev \le 0</math>
  
</div>
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==ZOS==
----
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*The syntax is to calculate Log normal distribution in ZOS is <math>LOGINV (probability,mean,standarddev,accuracy,somenormdistaccuracy,recursivelimit)</math>
<div id="1SpaceContent" class="zcontent" align="left">
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**<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.
  
It calculates the inverse of the lognormal cumulative distribution function of x, where ln(x) is normally distributed with parameters mean and standard deviation. LOGINV (p...) = x, if p = LOGNORMDIST(x...).
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==Examples==
  
</div>
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#LOGINV(0.039084,3.5,1.2) = 3.9957031
----
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#LOGINV(0.039084,3.5,1.2,0.02,0.4) = 3.5
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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
  
·          when  argument is nonnumeric LOGINV displays error.
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==Related Videos==
  
·          LOGINV displays error when  p is less than  0 or p is greater than  1.
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{{#ev:youtube|9rMpraPPQ2A|280|center|Log-Normal Distribution}}
  
·          LOGINV displays error when sd &lt;=0.
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==See Also==
 +
*[[Manuals/calci/LOG | LOG]]
 +
*[[Manuals/calci/EXP | EXP]]
 +
*[[Manuals/calci/LN  | LN]]
  
·          The inverse of the lognormal distribution function is:
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==References==
 +
[http://en.wikipedia.org/wiki/Log-normal_distribution  Log-normal Distribution]
  
</div>
 
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<div id="12SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="left">
 
  
LOGINV
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*[[Z_API_Functions | List of Main Z Functions]]
  
</div></div>
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*[[ Z3 Z3 home ]]
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<font size="3"><font face="Times New Roman">Lets see an example in (Column1 Row 1,Column2Row1, Column3Row1)</font></font>
 
 
 
<font size="3">LOGINV (p, m,sd)</font>
 
 
 
<font size="3">LOGINV (C1R1, C2R1,C3R1)</font>
 
 
 
<font size="3">i.e. =LOGINV (0.05345, 2.5,1.3) is 1.4031</font>
 
 
 
</div>
 
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<div id="10SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Syntax </div><div class="ZEditBox"><center></center></div></div>
 
----
 
<div id="4SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Remarks </div></div>
 
----
 
<div id="3SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Examples </div></div>
 
----
 
<div id="11SpaceContent" class="zcontent" align="left"><div class="ZEditBox" align="justify">Description </div></div>
 
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<div id="2SpaceContent" class="zcontent" align="left"><div>
 
 
 
{| id="TABLE3" class="SpreadSheet blue"
 
|- class="even"
 
| class=" " |
 
| Column1
 
| class="        " | Column2
 
| class="    " | Column3
 
| class="  " |
 
| class="  " | Column4
 
|
 
|- class="odd"
 
| class=" " | Row1
 
| class="sshl_f" | 0.05345
 
| class="sshl_f" | 2.5
 
| class="sshl_f" | 1.3
 
| class="sshl_f" |
 
| class="sshl_f" |
 
|
 
|- class="even"
 
| class="  " | Row2
 
| class="sshl_f" | 1.403125
 
| class="sshl_f" | 0
 
| class="sshl_f" |
 
| class="sshl_f" |
 
| class="sshl_f" |
 
|
 
|- class="odd"
 
| Row3
 
| class="sshl_fSelectTD SelectTD " |
 
<div id="2Space_Handle" title="Click and Drag to resize CALCI Column/Row/Cell. It is EZ!"></div><div id="2Space_Copy" title="Click and Drag over to AutoFill other cells."></div>
 
| class="sshl_f" |
 
| class="sshl_f" |
 
| class="   " |
 
| class="sshl_f" |
 
|
 
|- class="even"
 
| Row4
 
| class="sshl_f" |
 
| class="sshl_f" |
 
|
 
| class=" " |
 
| class="sshl_f" |
 
|
 
|- class="odd"
 
| class="sshl_f" | Row5
 
| class="sshl_f" |
 
| class="  " |
 
|
 
|
 
| class="  " |
 
|
 
|- class="even"
 
| class=" " | Row6
 
| class="sshl_f" |
 
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|}
 
 
 
<div align="left"></div>''''''</div></div>
 
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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