A useful reference for the applied statistician on fitting a wide range of linear models to data. The book also purports to be a second-level text for scientists who are planning to conduct research using statistical methods of design and analysis, but the mathematical and statistical background required for such readers is quite high. The topics covered include linear regression analysis, analysis of variance, analysis of designed experiments and multivariate methods of analysis including factor analysis and discriminant analysis.
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