Nonparametric estimation of the error distribution in software testing
published: Dec. 18, 2008, recorded: December 2008, views: 175
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
We introduce an estimation procedure for the error distribution based on additive relations in a nonparametric setting with application to software testing. Therein, we face a nonlinear statistical inverse problem, which can be solved by Fourier methods. We derive exact conﬁdence intervals and prove rate-optimality for the derived method.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !