A note on the choice of the best selection criterion for the optimal regression model

被引:0
|
作者
Herzberg, AM
Tsukanov, AV
机构
[1] Queens Univ, Kingston, ON K7L 3N6, Canada
[2] Sevastopol State Tech Univ, UA-335053 Sevastopol, Ukraine
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D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A method for choosing the best selection criterion for the choice of regression model in the case of a small number of observations is discussed. A new integrated criterion, i.e. the regret of the minimum of possible average mean-squared errors of prediction, is used. This criterion uses simulation techniques and prior information about the experimental error variance and the limits of the independent variables.
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页码:243 / 254
页数:12
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