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Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP by James Wisnowski, Andrew Karl, Heath Rushing

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15Other Design and Analysis Topics

Example 15.1 Box-Cox Transformation

Example 15.2 The Generalized Linear Model and Logistic Regression

Example 15.3 Poisson Regression

Example 15.4 The Worsted Yarn Experiment

Section 15.2 Unbalanced Data in a Factorial Design

Example 15.5 Analysis of Covariance

Section 15.3.4 Factorial Experiments with Covariates

This chapter highlights several additional topics related to the design and analysis of experiments. The regression methods covered throughout most of the textbook assume that the response is normally distributed with constant variance. When the observed data do not satisfy these assumptions, we may either transform the response or we may modify the modeling assumptions.

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