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A Most Powerful Test for Prior Distribution based on a Primary Sample |
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PP: 123-129 |
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Author(s) |
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Hamzeh Torabi,
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Abstract |
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| Testing of hypotheses is one of the main purpose of statistical inference. But up to the present, a goodness-of-fit test for
two competing prior distributions has not introduced. In this paper, some preliminary concepts regarding to hypotheses testing for prior
distribution based on a primary sample are introduced and then by an appropriate approach a version of Neyman-Pearson lemma to find
a most powerful goodness-of-fit test for prior distribution is given. Finally, some examples are presented to clarify the method. |
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