Abstract
In testing statistical hypotheses, quite generally, if we admit the result of Neyman-Pearson (apart from the interpretation of them) in case that we specify $n$ in advance and admit the likelihood principle, the stopping rule that “continue the experiments until rejecting the null hypothesis” is closed. As a matter of fact, a stronger phenomenon happens, and we shall show it with some examples.
Citation
Michikazu Sato. "Some properties on tests based on the Bayesian confidence interval." Tsukuba J. Math. 20 (1) 77 - 92, June 1996. https://doi.org/10.21099/tkbjm/1496162979
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