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- W2350652518 abstract "s:With reference to estimation of coefficient β in the model of statistics analysis of multiviriate linear model,the regular least square method is ineffective because the mean square error is too big when the matrix of the observed value has multicollinearity.This paper shows that the method of using the RMS and AIC criterion as the judging standard of the main components can cut down the multicollinearity,reduce the mean square error,and improve the stability of estimation and the matching precision of the model" @default.
- W2350652518 created "2016-06-24" @default.
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- W2350652518 date "2002-01-01" @default.
- W2350652518 modified "2023-09-26" @default.
- W2350652518 title "The study of the screening criteria of the maincompnents in a multivariate linear model" @default.
- W2350652518 hasPublicationYear "2002" @default.
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