![]() | Review waiting, please be patient.
This may take 3 months or more, since drafts are reviewed in no specific order. There are 1,946 pending submissions waiting for review.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Reviewer tools
|
Ball covariance is a statistical measure that can be used to test the independence of two random variables defined on metric spaces.[1] The ball covariance is zero if and only if two random variables are independent, making it a good measure of correlation. Its significant contribution lies in proposing an alternative measure of independence in metric spaces. Prior to this, distance covariance in metric spaces[2] could only detect independence for distance types with strong negative type. However, ball covariance can determine independence for any distance measure.
Ball covariance uses permutation tests to calculate the p-value. This involves first computing the ball covariance for two sets of samples, then comparing this value with many permutation values.
© MMXXIII Rich X Search. We shall prevail. All rights reserved. Rich X Search