WEIGHTED LOSS FUNCTIONS FOR SET ESTIMATION AND TESTING HYPOTHESES

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概要

• 論文の詳細を見る

• From the decision-theoretic viewpoint, using a weighted loss we compare the risks of testing procedures in the location and scale parameter cases. We also get numerically the minimax solution of Bayes testing procedures w. r. t. a parameter of the prior distribution, under the weighted loss.

• 一般社団法人日本統計学会の論文

著者

• Maihara Hirosuke

  Doctor Of Science. For Correspondence Institute Of Mathematics University Of Tsukuba

• Maihara Hirosuke

  Doctoral Program In Mathematics Graduate School Of Pure And Applied Sciences University Of Tsukuba

• Akahira Masafumi

  Institute of Mathematics, University of Tsukuba

• Akahira Masafumi

  Institute Of Mathematics University Of Tsukuba

関連論文

• WEIGHTED LOSS FUNCTIONS FOR SET ESTIMATION AND TESTING HYPOTHESES
• A HIGHER ORDER LARGE-DEVIATION APPROXIMATION FOR THE DISCRETE DISTRIBUTIONS
• MULTIPLE DECISION PROBLEM ON SIGNS OF MEAN VECTOR IN THREE-VARIATE NORMAL CASE
• A NEW HIGHER ORDER APPROXIMATION TO A PERCENTAGE POINT OF THE DISTRIBUTION OF THE SAMPLE CORRELATION COEFFICIENT
• ON THE NEW APPROXIMATION TO NON-CENTRAL t-DISTRIBUTIONS
• INFORMATION INEQUALITIES FOR THE MINIMAX RISK

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