Showing papers on "Bonferroni correction published in 1974"
TL;DR: In this paper, two extensions of the T-method for multiple comparisons on a set of parameters are discussed, which are easily applied to cases where the allied random variables do not satisfy the usual conditions imposed by the T method.
175 citations
TL;DR: In this article, the authors discuss multiple t tests and confidence intervals based on a Bonferroni Inequality and a slight improvement which can be made in some cases, which is the case in this paper.
Abstract: This paper discusses multiple t tests and confidence intervals based on a Bonferroni Inequality and a slight improvement which can be made in some cases.
29 citations
TL;DR: It is recommended that a more powerful test of the experimental hypotheses can be obtained by performing Bonferroni t statistics rather than analysis of variance F tests.
Abstract: The thrust of this paper is to bring to the attention of operant researchers statistical procedures that are appropriate for correlated data. In addition to specifying these statistical procedures consideration is given to the question of using individual comparison statistics rather than omnibus F tests. Specifically, it is recommended that a more powerful test of the experimental hypotheses can be obtained by performing Bonferroni t statistics rather than analysis of variance F tests.
23 citations
TL;DR: This article used the Bonferroni inequality to obtain shorter confidence intervals for multiple comparisons among means, for most situations of interest, than those proposed by Marascuilo (1966).
Abstract: Ury & Wiggins (1971) have used the Bonferroni inequality to obtain shorter confidence intervals for multiple comparisons among means, for most situations of interest, than those proposed by Marascuilo (1966). Their attempt to extend this technique to contrasts chosen post hoc has been shown to be not generally valid by Rodger (1973). A valid extension is given here.
5 citations