A Kolmogorov Goodness-of-Fit Test for Discontinuous Distributions Export

@article{conover-72, abstract = {The Kolmogorov goodness-of-fit test is known to be conservative when the hypothesized distribution function is not continuous. A method for finding the exact critical level (approximate in the two-sided case) and the power in such cases is derived. Thus the Kolmogorov test may be used as an exact goodness-of-fit test for all completely specified distribution functions, whether continuous or not continuous. Several examples of the application of this extension of the Kolmogorov test are also included.}, author = {Conover, W. J.}, citeulike-article-id = {786911}, citeulike-linkout-0 = {http://dx.doi.org/10.2307/2284444}, citeulike-linkout-1 = {http://www.jstor.org/stable/2284444}, doi = {10.2307/2284444}, journal = {Journal of the American Statistical Association}, keywords = {overtime, pointsh, testing}, number = {339}, pages = {591--596}, posted-at = {2008-09-30 05:39:28}, priority = {2}, title = {A Kolmogorov Goodness-of-Fit Test for Discontinuous Distributions}, url = {http://dx.doi.org/10.2307/2284444}, volume = {67}, year = {1972} }

TY - JOUR ID - conover-72 L3 - citeulike-article-id:786911 N2 - The Kolmogorov goodness-of-fit test is known to be conservative when the hypothesized distribution function is not continuous. A method for finding the exact critical level (approximate in the two-sided case) and the power in such cases is derived. Thus the Kolmogorov test may be used as an exact goodness-of-fit test for all completely specified distribution functions, whether continuous or not continuous. Several examples of the application of this extension of the Kolmogorov test are also included. IS - 339 JF - Journal of the American Statistical Association EP - 596 TI - A Kolmogorov Goodness-of-Fit Test for Discontinuous Distributions VL - 67 SP - 591 KW - overtime KW - pointsh KW - testing AU - Conover, WJ PY - 1972/// UR - http://dx.doi.org/10.2307/2284444 ER -