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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제7권 제1호
- 발행연도
- 2005.1
- 수록면
- 73 - 79 (7page)
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In this paper, we study the parameter estimation in Bernoulli distribution and Geometric distribution with parameter . We consider the estimator of and we find two confidence intervals for the parameters in these distributions. One is the result of variance stabilization(V. S.) and the other is that of using central limit theorem(C. L. T.). Simulation results shows that the point estimates are not so different and the length of the confidence intervals obtained by V. S. in case of geometric distribution is smaller than that by C. L. T.
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참고문헌 (8)
참고문헌 신청
Cho / 2003 / Confidence Intervals using C. L. T. and Delta method, Journal of the Korean Data Analysis Society 5 ((3) : 453 ~ 458
Ferguson T. S / 1996 / A Course in large sample theory
Hogg / 1995 / Introduction to mathematical statistics
Kang / 1998 / The probability range of the confidence intervals for sigma_A ^2 /sigma_B ^2 in two factor nested variance components model 9 ((2)) : 159 ~ 164
Kang K. J / 2003 / Confidence Intervals for the Linear Combination of Variances 5 ((3) : 459 ~ 466
Ferguson T. S / 1996 / A Course in large sample theory
Hogg / 1995 / Introduction to mathematical statistics
Kang / 1998 / The probability range of the confidence intervals for sigma_A ^2 /sigma_B ^2 in two factor nested variance components model 9 ((2)) : 159 ~ 164
Kang K. J / 2003 / Confidence Intervals for the Linear Combination of Variances 5 ((3) : 459 ~ 466
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