응용통계연구 (The Korean Journal of Applied Statistics)

  • 제25권3호
  • /
  • Pages.513-520
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  • 2012
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  • 1225-066X(pISSN)
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  • 2383-5818(eISSN)
한국통계학회 (The Korean Statistical Society)
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The Role of Artificial Observations in Testing for the Difference of Proportions in Misclassified Binary Data

  • 투고 : 2012.05.01
  • 심사 : 2012.06.12
  • 발행 : 2012.06.30
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초록

An Agresti-Coull type test is considered for the difference of binomial proportions in two doubly sampled data subject to false-positive error. The performance of the test is compared with the likelihood-based tests. It is shown that the Agresti-Coull test has many desirable properties in that it can approximate the nominal significance level with compatible power performance.

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참고문헌

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피인용 문헌

  1. The Role of Artificial Observations in Misclassified Binary Data with Common False-Positive Error vol.25, pp.4, 2012, https://doi.org/10.5351/KJAS.2012.25.4.697