Nonparametric estimation of the error distribution in software testing

author: Alexander Meister, Ulm University
published: Dec. 18, 2008,   recorded: December 2008,   views: 3153

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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.

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Comment1 Khongor, July 28, 2011 at 7:49 p.m.:

I did not complete watch it. I just want to know about what software did he use?

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