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The second edition delves into modeling unbalanced data, introducing new chapters on logistic regression, log-linear models, and time-to-event data. It emphasizes modeling main effects and interactions while incorporating nonparametric, lasso, and generalized additive regression models. The text offers detailed analysis methods for small unbalanced datasets, with scalable tools suitable for big data applications. Additionally, R, Minitab®, and SAS codes are accessible on the author's website, enhancing practical learning and implementation.
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Analysis of Variance, Design, and Regression, Ronald Christensen
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- 2015
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