文章基本信息

标题：Not Significant: What Now?
本地全文：下载
作者：Gerhard Marinell ; Gabriele Steckel-Berger ; Hanno Ulmer 等
期刊名称：Journal of Probability and Statistics
印刷版ISSN：1687-952X
电子版ISSN：1687-9538
出版年度：2012
卷号：2012
DOI：10.1155/2012/804691
出版社：Hindawi Publishing Corporation
摘要：In a classic significance test, based on a random sample with size , a value will be calculated at size aiming to reject the null hypothesis. The sample size , however, can retrospectively be divided into partial samples and a test of significance can be calculated for each partial sample. As a result, several partial samples will provide significant values whereas others will not show significant values. In this paper, we propose a significance test that takes into account the additional information from the values of the partial samples of a random sample. We show that the    values can greatly modify the results of a classic significance test.