Average mean square error of prediction for a multiple functional relationship model

In a linear regression model the independent variables are frequently subject to measurement errors. For this case, the problem of estimating unknown parameters has been extensively discussed in the literature while very few has been concerned with the effect of measurement errors on prediction. This paper investigates the behavior of the predicted values of the dependent variable in terms of the average mean square error of prediction(AMSEP). AMSEP may be used as a criterion for selecting an appropriate estimation method, for designing an estimation experiment, and for developing cost-effective future sampling schemes.
Publisher
한국통계학회
Issue Date
1984-01
Language
ENG
Citation

한국통계학회지, v.13, no.2, pp.107 - 113

ISSN
1225-9500
URI
http://hdl.handle.net/10203/65906
Appears in Collection
IE-Journal Papers(저널논문)
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