Nonparametric estimation of the error distribution in software testing
author: Alexander Meister,
Ulm University
published: Dec. 18, 2008, recorded: December 2008, views: 3153
published: Dec. 18, 2008, recorded: December 2008, views: 3153
Related content
Report a problem or upload files
If 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.
Description
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 page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Reviews and comments:
I did not complete watch it. I just want to know about what software did he use?
Write your own review or comment: