Shift of log-normal distribution and skewness of associated gaussian












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I have a dataset where the best fit (e.g. with MATLAB's fitdist) appears to be a log-normal distribution.



Taking the logarithm of the data however results in a normal distribution with a skewness of -0.3, i.e. a left-skew normal distribution (Figure left).



An iterative algorithm reveals for a 3-parameteric log-normal a shift of -2.8, however, and log(X+2.8) results in
a normal distribution with a skewness close to zero (Figure right):



enter image description here



My questions:



(i) How is the shift of the log-normal distribution (analytically) related to the skewness of the associated normal distribution?



(ii) The original data has values of at least 1. How comes that the shift of the log-normal distribution can be negative, if the shift of the 3-parameter log-normal defines the support of the log-normal distribution?










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  • 2




    $begingroup$
    Note that a normal distribution is not skewed.
    $endgroup$
    – Jean-Claude Arbaut
    Dec 2 '18 at 22:52
















0












$begingroup$


I have a dataset where the best fit (e.g. with MATLAB's fitdist) appears to be a log-normal distribution.



Taking the logarithm of the data however results in a normal distribution with a skewness of -0.3, i.e. a left-skew normal distribution (Figure left).



An iterative algorithm reveals for a 3-parameteric log-normal a shift of -2.8, however, and log(X+2.8) results in
a normal distribution with a skewness close to zero (Figure right):



enter image description here



My questions:



(i) How is the shift of the log-normal distribution (analytically) related to the skewness of the associated normal distribution?



(ii) The original data has values of at least 1. How comes that the shift of the log-normal distribution can be negative, if the shift of the 3-parameter log-normal defines the support of the log-normal distribution?










share|cite|improve this question











$endgroup$








  • 2




    $begingroup$
    Note that a normal distribution is not skewed.
    $endgroup$
    – Jean-Claude Arbaut
    Dec 2 '18 at 22:52














0












0








0





$begingroup$


I have a dataset where the best fit (e.g. with MATLAB's fitdist) appears to be a log-normal distribution.



Taking the logarithm of the data however results in a normal distribution with a skewness of -0.3, i.e. a left-skew normal distribution (Figure left).



An iterative algorithm reveals for a 3-parameteric log-normal a shift of -2.8, however, and log(X+2.8) results in
a normal distribution with a skewness close to zero (Figure right):



enter image description here



My questions:



(i) How is the shift of the log-normal distribution (analytically) related to the skewness of the associated normal distribution?



(ii) The original data has values of at least 1. How comes that the shift of the log-normal distribution can be negative, if the shift of the 3-parameter log-normal defines the support of the log-normal distribution?










share|cite|improve this question











$endgroup$




I have a dataset where the best fit (e.g. with MATLAB's fitdist) appears to be a log-normal distribution.



Taking the logarithm of the data however results in a normal distribution with a skewness of -0.3, i.e. a left-skew normal distribution (Figure left).



An iterative algorithm reveals for a 3-parameteric log-normal a shift of -2.8, however, and log(X+2.8) results in
a normal distribution with a skewness close to zero (Figure right):



enter image description here



My questions:



(i) How is the shift of the log-normal distribution (analytically) related to the skewness of the associated normal distribution?



(ii) The original data has values of at least 1. How comes that the shift of the log-normal distribution can be negative, if the shift of the 3-parameter log-normal defines the support of the log-normal distribution?







probability normal-distribution






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share|cite|improve this question













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edited Dec 2 '18 at 22:49









LinAlg

8,9411521




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asked Dec 2 '18 at 19:02









TestGuestTestGuest

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  • 2




    $begingroup$
    Note that a normal distribution is not skewed.
    $endgroup$
    – Jean-Claude Arbaut
    Dec 2 '18 at 22:52














  • 2




    $begingroup$
    Note that a normal distribution is not skewed.
    $endgroup$
    – Jean-Claude Arbaut
    Dec 2 '18 at 22:52








2




2




$begingroup$
Note that a normal distribution is not skewed.
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 22:52




$begingroup$
Note that a normal distribution is not skewed.
$endgroup$
– Jean-Claude Arbaut
Dec 2 '18 at 22:52










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