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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.11
- 수록면
- 1,399 - 1,408 (10page)
- DOI
- 10.7465/jkdi.2019.30.6.1399
이용수
초록· 키워드
오류제보하기
In this article, two likelihood-based methods are developed to make a statistical inference of the ratio of the parameters of the inverse exponential distributions. The exact method and the likelihood-based methods under the signed log-likelihood ratio statistic and the modified signed log-likelihood ratio statistic are developed. The confidence intervals of the ratio and the test of the ratio of the parameters of two independent inverse exponential distributions are studied by proposed statistics. For comparing the accuracy of the proposed methods, we investigate the coverage probability, the bilateral symmetry and length of the confidence intervals in the small sample size. Also, the power of the test statistics are compared. And a real data example is provided.
목차
Abstract
1. Introduction
2. Development of likelihood-based methods
3. Numerical studies
4. Concluding remarks
References
참고문헌 (10)
참고문헌 신청
Barndorff-Nielsen, O. E. / 1986 / Inference on full and partial parameters, based on the standardized signed log likelihood ratio / Biometrika 73:307~322
Barndorff-Nielsen, O. E. / 1991 / Modified signed log likelihood ratio / Biometrika 78:557~563
Barndorff-Nielsen, O. E. / 1994 / Inference and asymptotics / Chapman and Hall
Cox, D. R. / 1974 / Theoretical statistics / Chapman and Hall
강상길 / 2013 / Noninformative Priors for the Ratio of the Scale Parameters in the Inverted Exponential Distributions / Communications for Statistical Applications and Methods 20(5):387~394
Barndorff-Nielsen, O. E. / 1991 / Modified signed log likelihood ratio / Biometrika 78:557~563
Barndorff-Nielsen, O. E. / 1994 / Inference and asymptotics / Chapman and Hall
Cox, D. R. / 1974 / Theoretical statistics / Chapman and Hall
강상길 / 2013 / Noninformative Priors for the Ratio of the Scale Parameters in the Inverted Exponential Distributions / Communications for Statistical Applications and Methods 20(5):387~394
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UCI(KEPA) : I410-ECN-0101-2020-041-000137452