Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with correlation
Search options not deleted
user 34675
A measure of the degree of association among a pair of variables.
-1
votes
Spearman's correlation coefficient when one variable is not normally distributed
The question was answered here.
Short answer, it doesn't really matter. Both Spearman and Pearson's coefficients do not require normality. Spearman is more resistant to outliers though.
- 714
19
votes
1
answer
10k
views
Using mutual information to estimate correlation between a continuous variable and a categor...
That makes very difficult to use it as a correlation coefficient. … GCC ranges from 0 to 1, and therefore can easily be used to estimate the correlation between two variables. Problem solved, right? Well, kind of. …
- 714