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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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10Fitting Regression Models

Example 10.1 Multiple Linear Regression Model

Example 10.2 Regression Analysis of a 23 Factorial Design

Example 10.3 A 23 Factorial Design with a Missing Observation

Example 10.4 Inaccurate Levels in Design Factors

Example 10.6 Tests on Individual Regression Coefficients

Example 10.7 Confidence Intervals on Individual Regression Coefficients

Linear regression provides the ability to analyze the majority of the models that are presented in this book. These models are often fit with the method of least squares, though the estimators may also be derived from a maximum likelihood framework. The two methods produce equivalent point estimates for the model parameters (with a small caveat for the estimates of variance components). ...

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