What is it about?
A sequential method based on constrained Bayesian methods is developed for testing multiple hypotheses. It controls the family-wise error rate and the family-wise power in a more accurate form than the Bonferroni or intersection scheme using the ideas of step-up and step- down methods for multiple comparisons of sequential designs. The new method surpasses the existing testing methods proposed earlier in a substantial reduction of the expected sample size.
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Why is it important?
The new method surpasses the existing testing methods proposed earlier in a substantial reduction of the expected sample size.
Perspectives
The application of the offered method increases the quality of obtained multiple hypotheses testing results and significantly reduces the size of necessary observation results.
Professor Kartlos Joseph Kachiashvili
Georgian Tachnical University
Read the Original
This page is a summary of: Constrained Bayesian Method for Testing Multiple Hypotheses in Sequential Experiments, Sequential Analysis, April 2015, Taylor & Francis,
DOI: 10.1080/07474946.2015.1030973.
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