Applied Regression Analysis, Volume 1
Wiley, 1966 - Mathematical statistics - 407 pages
This book provides a standard, basic course in multiple linear regression, but it also includes material that either has not previously appeared in a textbook or, if it has appeared, is not generally available.
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THE MATRIX APPROACH TO LINEAR REGRESSION
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actually addition analysis of variance ANOVA Source appear applied calculations called Chapter coefficients column Confidence Limits Constant Control correct correlation coefficient corresponding defined degrees of freedom dependent Determinant discussed distribution effect elements entering equation error estimate examine example explained expressed Figure follows function given independent variables indicates interval involved lack of fit least squares linear matrix mean square measure method multiple nonlinear normal equations Note observations obtained occur original orthogonal Overall parameters Partial F-test plot possible prediction prediction equation problem procedure pure error random regression regression equation Regression Residual reject Requirements residuals response runs selected shown significant situation solution space stage Standard Standard deviation Statistical Step sum of squares Suppose temperature transformations true usually variation vector write zero