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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.1
- 수록면
- 233 - 244 (12page)
- DOI
- 10.7465/jkdi.2019.30.1.233
이용수
초록· 키워드
오류제보하기
The success probability in a binomial distribution has been of much interest in many fields. Most articles about its interval estimation have given focus on traditional approaches, while there were seldom on Bayesian approaches. In this article we give focus on the interval estimation based on normal approximation to posterior distribution, and compare its performance with major interval estimations in terms of coverage probability related measures. The approximate Bayesian credible interval, based on similar ideas to that of the Wald or Wilson interval, is easily derived and simple to memorize and shows comparable results to popular classical interval methods.
목차
Abstract
1. Introduction
2. Non-Bayesian intervals
3. Bayesian intervals
4. Comparison of intervals
5. Conclusions and summary
References
참고문헌 (20)
참고문헌 신청
Agresti, A. / 1998 / Approximate is better than exact for interval estimation of binomial proportions / The American Statistician 52:119~126
Bohning, D. / 1994 / Better approximate confidence intervals for a binomial parameter / Canadian Journal of Statistics 22:207~218
Blyth, C. R. / 1983 / Binomial confidence intervals / Journal of the American Statistical Association 78:108~116
Brown, L. D. / 2001 / Interval estimation for a binomial proportion (with discussion) / Statistical Science 16:101~133
Brown, L. D. / 2002 / Confidence intervals for a binomial proportion and asymptotic expansions / The Annals of Statistics 30:160~201
Bohning, D. / 1994 / Better approximate confidence intervals for a binomial parameter / Canadian Journal of Statistics 22:207~218
Blyth, C. R. / 1983 / Binomial confidence intervals / Journal of the American Statistical Association 78:108~116
Brown, L. D. / 2001 / Interval estimation for a binomial proportion (with discussion) / Statistical Science 16:101~133
Brown, L. D. / 2002 / Confidence intervals for a binomial proportion and asymptotic expansions / The Annals of Statistics 30:160~201
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