Confidence Intervals for the Coefficient of Variation in a Normal Distribution with a Known Population Mean

被引：10
|
作者：
Panichkitkosolkul, Wararit [1 ]
机构：
[1] Thammasat Univ, Fac Sci & Technol, Dept Math & Stat, Pathum Thani 12120, Thailand
来源：
JOURNAL OF PROBABILITY AND STATISTICS | 2013年 / 2013卷
关键词：
D O I：
10.1155/2013/324940
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：
This paper presents three confidence intervals for the coefficient of variation in a normal distribution with a known population mean. One of the proposed confidence intervals is based on the normal approximation. The other proposed confidence intervals are the shortest-length confidence interval and the equal-tailed confidence interval. A Monte Carlo simulation study was conducted to compare the performance of the proposed confidence intervals with the existing confidence intervals. Simulation results have shown that all three proposed confidence intervals perform well in terms of coverage probability and expected length.
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页数：11
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