A Pascal program to perform the Bonferroni multistage multiple-correlation procedure

Holm ’ s Sequential Bonferroni Procedure

The more statistical tests we perform, the more likely we are to reject the null hypothesis when it is true (i.e., a “false alarm,” also called a “Type 1” error). This is a consequence of the logic of hypothesis testing: We reject the null hypothesis for rare events, and the larger the number of tests, the easier it is to find rare events which are false alarms. This problem is called the infla...

A Multivariate Quality Control Procedure in Multistage Production Systems

In this paper a multivariate quality control procedure is offered in which several correlated stages are present in production systems and in each stage there are several correlated control variable. Using Hotelling's T2 statistic, first, each stage is tested for being out of control. Then out of control variables are selected using Murphy's method. The remainder of the research involves evalua...

A Stagewise Rejective Multiple Test Procedure Based on a Modified Bonferroni Test

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Bonferroni - based gatekeeping procedure with retesting option

In complex clinical trials, multiple research objectives are often grouped into sets of objectives based on their inherent hierarchical relationships. Consequently, the hypotheses formulated to address these objectives are grouped into ordered families of hypotheses and thus to be tested in a pre-defined sequence. In this paper, we introduce a novel Bonferroni based multiple testing procedure f...

Multiple significance tests: the Bonferroni method.