This paper aims at constructing stepwise test procedures based on the Bonferroni{ Holm principle for a multi{way ANOVA. Especially for the two{way ANOVA it is shown, that the procedures keep the multiple level. These theoretical results are supplemented by a simulation study to compare the multiple procedures regarding two power concepts and to learn about which of the introduced procedures is ...

Spam is commonly defined as unwanted e-mails and it became a global threat against e-mail users. Although, Support Vector Machine (SVM) has been commonly used in e-mail spam classification, yet the problem of high data dimensionality of the feature space due to the massive number of e-mail dataset and features still exist. To improve the limitation of SVM, reduce the computational complexity (e...

In this work, we present a simple robust method for the detection of atypical observations and the analysis of their effect in the ANalysis Of VAriance framework. In particular we will relate to the multi-way ANOVA, as an extension of the work by Bertaccini and Varriale (2007). The key statistic in the ANOVA is the F test of group means’ differences. The test is very powerful under classical as...

This paper aims at constructing stepwise test procedures based on the Bonferroni Holm principle for a multi way ANOVA Especially for the two way ANOVA it is shown that the procedures keep the multiple level These theoretical results are supplemented by a simulation study to compare the multiple procedures regarding two power concepts and to learn about which of the introduced procedures is the ...

Motivation: In the exploding field of gene expression techniques such as DNA microarrays, there are still few general probabilistic methods for analysis of variance. Linear models and anova are heavily used tools in many other disciplines of scientific research. The usual F -statistic is unsatisfactory for microarray data, which explores many thousand genes in parallel, with few replicates. Res...