A theory of measurement uncertainty based on conditional probability

被引：0
|
作者：
DAgostini, G
机构：
来源：
AMERICAN STATISTICAL ASSOCIATION - 1996 PROCEEDINGS OF THE SECTION ON BAYESIAN STATISTICAL SCIENCE | 1996年
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D O I：
暂无
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：
A theory based on measurement uncertainty is presented, which, since it is based exclusively on the Bayesian approach and on the subjective concept of conditional probability, is applicable in the most general cases. The recent International Organization for Standardization (ISO) recommendation on measurement uncertainty is reobtained as the limit case in which linearization is meaningful and one is interested only in the best estimates of the quantities and in their variances.
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页码：42 / 46
页数：5
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