confidence interval;
normal approximation;
sampling theory;
D O I:
10.1080/03610920701713310
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
In this article, we derive an explicit formula for constructing the confidence interval of binomial parameters with guaranteed coverage probability. The formula overcomes the limitation of normal approximation which is asymptotic in nature and thus inevitably introduces unknown errors in applications. Moreover, the formula is very tight in comparison with classic Clopper-Pearson's approach from the perspective of interval width. Based on the rigorous formula, we also obtain approximate formulas with an excellent performance of coverage probability.
机构:
Calif State Univ Northridge, Dept Math, Northridge, CA 91330 USACalif State Univ Northridge, Dept Math, Northridge, CA 91330 USA
Schilling, Mark F.
Doi, Jimmy A.
论文数: 0引用数: 0
h-index: 0
机构:
Calif Polytech State Univ San Luis Obispo, Dept Stat, San Luis Obispo, CA 93407 USACalif State Univ Northridge, Dept Math, Northridge, CA 91330 USA
机构:
Calif Polytech State Univ San Luis Obispo, Dept Stat, San Luis Obispo, CA USACalif Polytech State Univ San Luis Obispo, Dept Stat, San Luis Obispo, CA USA
Doi, Jimmy A. A.
Holladay, Bret
论文数: 0引用数: 0
h-index: 0
机构:
Calif Polytech State Univ San Luis Obispo, Dept Stat, San Luis Obispo, CA USACalif Polytech State Univ San Luis Obispo, Dept Stat, San Luis Obispo, CA USA
Holladay, Bret
Schilling, Mark F. F.
论文数: 0引用数: 0
h-index: 0
机构:
Calif State Univ Northridge, Dept Math, Northridge, CA 91330 USACalif Polytech State Univ San Luis Obispo, Dept Stat, San Luis Obispo, CA USA