Sequential minimum risk point estimation (MRPE) methodology for a normal mean under Linex loss plus sampling cost: First-order and second-order asymptotics

被引:5
|
作者
Mukhopadhyay, Nitis [1 ]
Banerjee, Soumik [1 ]
机构
[1] Univ Connecticut, Dept Stat, Austin Bldg U-4120,215 Glenbrook Rd, Storrs, CT 06269 USA
关键词
First-order properties; linear cost; Linex loss; minimum risk; nonlinear renewal theory; regret; risk efficiency; second-order properties; sequential; simulations; EXPONENTIAL-DISTRIBUTION; RENEWAL THEORY; ILLUSTRATIONS; PARAMETER; LOCATION; 2-STAGE; THEOREM;
D O I
10.1080/07474946.2019.1686937
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
We have designed a sequential minimum risk point estimation (MRPE) strategy for the unknown mean of a normal population having its variance unknown too. This is developed under a Linex loss plus linear cost of sampling. A number of important asymptotic first-order and asymptotic second-order properties' characteristics have been developed and proved thoroughly. Extensive sets of simulations tend to validate nearly all of these asymptotic properties for small to medium to large optimal fixed sample sizes.
引用
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页码:461 / 479
页数:19
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