Interval linear pair regression (review)

被引：0
|
作者：
Gus'kova, E.A. [1 ]
Orlov, A.I. [1 ]
机构：
[1] ZAO 'Rusinkhim', Moscow, Russia
来源：
Zavodskaya Laboratoriya. Diagnostika Materialov | 2005年 / 71卷 / 03期
关键词：
Carbon steel - Computer applications - Mathematical models - Parameter estimation - Statistical methods;
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学科分类号：
摘要：
From stands of asymptotic mathematical statistics of interval data, estimations of a least square method in the linear model are considered. Input data preset not by numbers, but by intervals which length is small. The greatest possible deviations caused by the metrology reasons are calculated. Calculations are made for an event of a pair regression.
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页码：57 / 63
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