I have been looking online regarding feature extraction and I am looking at extracting features from probability distribution by getting the characteristics of the distribution. I know that most common are the following:
- Standard Deviation
I used some links to get these features which can be found below:
So, I have been wondering if there are other types of features that explain the probability distribution?
Regarding the Goodness-of-fit tests, I know that they are used to find a suitable distribution that fits the dataset that you are using. I want to know if there is a link or article that looks into the type of tests and if there were a review on them and what could be the better goodness of fit test to use to get the distribution for your dataset?