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Should I turn my skewed data into a normal distributed data before using MinMaxScaler or StandardScaler?

I have a dataset with a couple skewed variables that with the use of sqrt() function turns them into a normal distribution variable. I have read somewhere that I should have a normal distributed ...
Rodrigo Silva's user avatar
1 vote
0 answers
1k views

How do I remove skewness from a distribution?

I am working with the most famous Credit Card Fraud Detection dataset which includes 28 PCA transformed columns. I'm dealing with the most skewed feature of all which after running the following ...
Sergio Rivera's user avatar
2 votes
2 answers
606 views

How to fit a mixed model with a skew normal distribution in python?

I am not sure if this is the best place to ask this so if not, please let me know, however I am using StatsModels to create a mixed effects model that assesses the relationship between a factored ...
user's user avatar
  • 771
0 votes
1 answer
26 views

How do I use the parameters in the RosinRammlerDistribution to adjust the profile for particle injection

I am trying to use the RosinRammlerDistribution in a lagrangian kinematic solution of injecting particles into an air stream, viz. RosinRammlerDistribution { ...
John Wooten's user avatar
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1 answer
770 views

Transformation of Normal Distribution to skew normal distribution

I have a set of data array which are almost like normal distribution. But I have to transform the data to a skew-normal distribution. After searching the internet, I figure out that any concave or ...
Yong Hwan Kim's user avatar
1 vote
0 answers
46 views

Can I normally distribute a variable of range between 0 and 1 with a heavy positive skew near 0?

I am trying to make my dependent variable normally distributed. Currently, it's positively skewed (massively) because of many 0 values. Using log results in many Infinites, and using log+1 creates ...
Marc-Marijn's user avatar
2 votes
3 answers
676 views

Nonlinear least squares regression of skewed normal distribution in R (or any language)

First time poster. Apologize in advance if I use improper etiquette or vocabulary. I've time series data of chemical concentration (y) vs time (x) from a USGS river survey. It exhibits a skew normal ...
James Ash's user avatar
2 votes
0 answers
229 views

Calculating Log-likelihood for the Skew Normal Distribution in R

library(sn) library(fGarch) library(maxLik) set.seed(12) nl = 100 locl = 0 scalel = 1 shapel = 1 #data y = c(rsn(n=nl, xi=locl, omega=scalel, alpha=shapel, tau=0, dp=NULL)) Assume only the shape ...
score324's user avatar
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0 votes
1 answer
265 views

bivariate skew normal distribution in R?

Can anyone tell me a good way to fit a bivariate skew normal distribution in R? I've looked at packages such as "sn" and "fMultivar" but these have not proven useful. Thank you.
Michael Dunne-Willows's user avatar
1 vote
1 answer
876 views

Using Boost skew_normal_distribution

This has been addressed before (Using boost's skewed_normal_distribution) but I having difficulties and the previous thread didn't include any solution code. I would like to sample from a skewed ...
jack.l's user avatar
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2 votes
1 answer
3k views

drawing data from a skew normal distribution using the sn package in R

I need to characterize the location, shape, and scale of a skew normal distribution of data, and then use these parameters to draw values randomly from a skew-normal distribution with the same ...
colin's user avatar
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