Interval Estimation for the Two-Parameter Exponential Distribution Based on the Upper Record Values

被引:1
|
作者
Wu, Shu-Fei [1 ]
机构
[1] Tamkang Univ, Dept Stat, Taipei 251301, Taiwan
来源
SYMMETRY-BASEL | 2022年 / 14卷 / 09期
关键词
exponential distribution; upper record value; confidence interval; confidence region;
D O I
10.3390/sym14091906
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Using the data for upper record values, the interval estimation for the scale parameter of two-parameter exponential distribution is presented. In addition, two methods for the joint confidence region of two parameters are proposed. In terms of confidence region area, the simulation comparison of two methods of the confidence region is performed in this paper. The criterion of minimum confidence region area is used to obtain the optimal method of the confidence region. To illustrate our proposed interval estimation methods, one biometrical example is used and the corresponding confidence interval length and confidence region area are also calculated. Our research topic is related to the asymmetrical probability distributions and applications across disciplines.
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页数:7
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