Introduction to Lecture65 Data2decision Regression Design
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Lecture65 Data2decision Regression Design Comprehensive Overview
Comparing space-filling, quadratic, and dumbbell Process Modeling as Using sequence plots, lag plots, and a Runs test to look for systematic variation of residuals from a linear
Generalized Linear Models, the exponential family of distributions, link functions, Probit
Summary & Highlights for Lecture65 Data2decision Regression Design
- Indicator variables; non-linear
- Total
- Building models with automated search (full, forward stepwise, and backward stepwise
- Robust
- Part 1 of
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