Evaluating the Replicability of Significance Tests for Export

@misc{citeulike:247902, abstract = {Empirical research in learning algorithms for classification tasks generally requires the use of significance tests. The quality of a test is typically judged on Type I error (how often the test indicates a difference when it should not) and Type II error (how often it indicates no difference when it should). In this paper we argue that the replicability of a test is also of importance. We say that a test has low replicability if its outcome strongly depends on the particular random...}, author = {Algorithms, Comparing L.}, citeulike-article-id = {247902}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.7116}, keywords = {replicability}, posted-at = {2005-07-06 16:53:58}, priority = {2}, title = {Evaluating the Replicability of Significance Tests for}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.7116} }

TY - GEN ID - citeulike:247902 L3 - citeulike-article-id:247902 N2 - Empirical research in learning algorithms for classification tasks generally requires the use of significance tests. The quality of a test is typically judged on Type I error (how often the test indicates a difference when it should not) and Type II error (how often it indicates no difference when it should). In this paper we argue that the replicability of a test is also of importance. We say that a test has low replicability if its outcome strongly depends on the particular random... TI - Evaluating the Replicability of Significance Tests for KW - replicability AU - Algorithms, Comparing UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.7116 ER -