Fixed-accuracy confidence interval estimation of P(X < Y) under a geometric-exponential model

被引:0
|
作者
Hu, Jun [1 ]
Zhuang, Yan [2 ]
Goldiner, Clara [2 ]
机构
[1] Oakland Univ, Dept Math & Stat, Oakland, MI USA
[2] Connecticut Coll, Dept Math & Stat, New London, CT 06320 USA
关键词
Stress-strength analysis; Fixed-accuracy confidence intervals; Nonparametric methods; Two-stage sampling; Cancer survival data; GINIS MEAN DIFFERENCE; POINT ESTIMATION; 2-STAGE; RELIABILITY; MOMENTS; SAMPLE; X);
D O I
10.1007/s42081-021-00122-2
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 deals with fixed-accuracy confidence interval estimation of the parameter P(X<Y) where X follows a geometric distribution and Y follows an exponential distribution with both parameters unknown. Taking into consideration parametric and nonparametric methods, we develop modified two-stage and two-stage sampling procedures, respectively, to determine the necessary sample sizes for constructing a confidence interval with required the accuracy. Both procedures show a few appealing properties and are further investigated through simulation studies. A prostate cancer data set is used to illustrate the implementation of the model and sampling procedures.
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页码:1079 / 1104
页数:26
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