ON CONFIDENCE INTERVALS FOR P(X<Y)

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概要

• 論文の詳細を見る

• We assume X and Y be two independent random variables and define θ=P (X < Y ). The inference for θ can be found in various fields. This paper not only compares several methods for constructing the confidence interval for θ in a small sample but also proposes some new methods. The intervals derived by these new methods show good performance in a small sample, and their actual coverage probability is close to the nominal level. In addition, one of the biggest advantages of our methods is that it does not require complicated calculations.

• 2010-12-01

著者

• Miyaoka Etsuo

  Department Of Math Tokyo University Of Science

• Miyaoka Etsuo

  Department Of Mathematics Tokyo University Of Science

• KAWASAKI Youhei

  Biostatistics Group, Data Science Department, Development Division, Mitsubishi Tanabe Pharma Corpora

• Kawasaki Youhei

  Biostatistics Group Data Science Department Development Division Mitsubishi Tanabe Pharma Corporatio

• Kawasaki Youhei

  Biostatistics Group Data Science Department Development Division Mitsubishi Tanabe Pharma Corporatio

関連論文

• ON CONFIDENCE INTERVALS FOR P(X
• ANALYSIS OF BINARY CROSS-OVER DATA WITH GENERALIZED LINEAR TRANSITION MODELS
• A POSTERIOR DENSITY FOR THE DIFFERENCE BETWEEN TWO BINOMINAL PROPORTIONS AND THE HIGHEST POSTERIOR DENSITY CREDIBLE INTERVAL

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