期刊名称：American Journal of Applied Mathematics and Statistics
印刷版ISSN：2328-7306
电子版ISSN：2328-7292
出版年度：2013
卷号：1
期号：1
页码：6-10
DOI：10.12691/ajams-1-1-2
语种：English
出版社：Science and Education Publishing
摘要：The most frequency used goodness of fit tests are based on measuring the distance between the theoretical distribution function and the empirical distribution function (EDF), but presence of outliers influences these tests strongly. In this study, we propose a simple robust method for goodness of fit test by using the Forward Search (FS) method. The FS method is a powerful general method for identifying outliers and their effects on the hypothesized model. The performance and the ability of the procedure to capture the structure of data, even in the presence of outliers, are illustrated by some simulation studies and real data examples.
关键词：forward search procedure; goodness of fit test; robust approach; outlier
