Attributes can be partitioned into several different categories and members of intra-partition are interrelated while no interrelationship exists between attributes of different partitions. Nevertheless, in many situations, interrelationships do not always exist between all of the attributes. The Bonferroni mean (BM) was originally introduced by Bonferroni and generalised by many other researchers due to its capacity to capture the interrelationship between input arguments. Intuitionistic uncertain linguistic partitioned Bonferroni means and their application to multiple attribute decision-making It demonstrates, using a 5 x 5 correlation matrix, the application of 5 recently developed modified Bonferroni procedures developed by the following authors: (1) Y. This paper discusses the issue of multiple testing and overall Type I error rates in contexts other than multiple comparisons of means. Multiple Testing with Modified Bonferroni Methods.ĮRIC Educational Resources Information Center
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