Titlebook: Regression Analysis with Applications; G. Barrie Wetherill,P. Duncombe,B. J. Vowden Book 1986 G. Barrie Wetherill 1986 ANOVA.analysis of v

ELUDE

The analysis of response surface data,mial in the original independent variables is fitted to the response under analysis. This can be called multiple quadratic regression. For a very simple example refer back to Data Set 1.1 in Chapter 4. Much of the research on response surface analysis has concentrated on the design of suitable exper

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发芽

Predictions from regression,going into the question of the variance associated with a prediction, we need to show clearly what the effect is of underfitting and overfitting. Both of these can be described as ‘model fitting’ errors and both can have a severe effect on predictions.

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Testing for normality,y normal, then the .-test for multiple regression is insensitive to non-normality. If the explanatory variables cannot be so regarded, then there can be a substantial effect on the ‘.-test’ distribution.

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Heteroscedasticity and serial correlation,lid, Clearly, further research needs to be carried out on how serious the effects are of using OLS when (9.2) ought to be used, but this argument indicates the desirability of testing for departures from the assumption of . = ..

枯萎将要

The analysis of response surface data,es (1978, Chapter 11). We shall concentrate here on the fitting of the polynomial and subsequent interpretation assuming that the data have already been collected. Obviously consideration of the design will enter at certain points in the discussion but the present chapter is not intended as an exposition of this aspect of the subject.