New answers tagged skewness
3
votes
How to decide better threshold values for variables with skewed distributions
Thresholding of input variables is never appropriate. That’s because thresholding loses information, is arbitrary, and most importantly, gives the wrong answer. The latter problem is due to the fact ...
0
votes
How to decide better threshold values for variables with skewed distributions
Leaving behind the disadvantages of categorizing continuous variables, a common way to find thresholds is based on the quantiles of the distribution. By using quantiles, you look at the mass of your ...
0
votes
Tukey's IQR-method for outliers and highly skewed data
All statistical methods of identifying outliers are deeply flawed. They may be useful for showing you some points that you might look at, but they should never be used to automatically delete points.
...
1
vote
Mean difference between four groups with
I'm not sure if I understand the reason why exactly you can only use that mean, but let's just focus on the problem that you just have 4 numbers and want to see the difference between those 4. If you ...
Top 50 recent answers are included
Related Tags
skewness × 710kurtosis × 131
distributions × 129
data-transformation × 78
regression × 72
normal-distribution × 71
r × 56
mean × 34
moments × 34
skew-normal-distribution × 31
hypothesis-testing × 29
nonparametric × 27
normality-assumption × 27
t-test × 26
descriptive-statistics × 26
confidence-interval × 23
machine-learning × 21
mathematical-statistics × 21
bootstrap × 20
variance × 19
median × 19
simulation × 18
statistical-significance × 17
outliers × 17
histogram × 17