HIGHER-ORDER LOCAL UNBIASEDNESS WITH COMPUTER ALGEBRA

被引：0
|
作者：
ENNIS, M
FRASER, DAS
机构：
[1] YORK UNIV,DEPT MATH & STAT,N YORK M3J 1P3,ONTARIO,CANADA
[2] UNIV TORONTO,DEPT STAT,TORONTO M5S 1A1,ONTARIO,CANADA
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1992年 / 21卷 / 11期
关键词：
UNBIASED ESTIMATION; LOCAL UNBIASEDNESS; MINIMUM VARIANCE; COMPUTER ALGEBRA; APPROXIMATE UNBIASEDNESS;
D O I：
10.1080/03610929208830968
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：
Unbiased estimation methods that are in some way local on the parameter space have been initiated by Barankin (1948) and Fraser (1964). The later methods involving local unbiasedness are extended to higher (derivative or difference) order at a parameter value (theta0) and provide a basis for a computer algebra implementation concerning the improvement of unbiased estimates.
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页码：3171 / 3176
页数：6
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