How to solve standard normal distribution function for unknown variable.
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Abdur Rasheed
on 16 Aug 2017
Commented: Star Strider
on 18 Aug 2017
Dear Friends! i am having a problem of solving a function for unknown variable as given below; β = - Ф-1 (Pf) where Ф-1=is the inverse standard normal distribution function. The β values are known and i want to find out the values of Pf in matlab. Need help urgently. Thanks!
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Star Strider
on 16 Aug 2017
It seems that your ‘beta’ values are actually z-scores, since the standard normal distribution requires two parameters, those being the mean and standard deviation. For the z-score, those are taken to be 0 and 1, respectively, since the z-score normalizes them.
This could be what you want:
Pf = normcdf(beta)
or perhaps:
Pf = normcdf(-beta)
or using the core MATLAB erf function:
Phi = @(beta) (1- erf(beta/sqrt(2)))/2;
Pf = Phi(beta)
Pf = Phi(-beta)
Without more information, it is difficult to determine the exact solution to your problem. See the documentation on Find Cumulative Distribution Function of Normal Distribution (link). The argument to the erf function in that section would be your ‘beta’ values.
That is my best guess.
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More Answers (1)
Abdur Rasheed
on 18 Aug 2017
Edited: Abdur Rasheed
on 18 Aug 2017
1 Comment
Star Strider
on 18 Aug 2017
I cannot work with your ‘.fig’ file. I cannot access the properties for the two different y-axes.
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