Attribute | Rank |
---|---|

Difficulty | 2 |

Proof Quality | NA |

Readability | 5 |

Self-Study | 4 |

Good for Teaching? | 5 |

Quality of Exercises | 5 |

- Simple Linear Regression
- linear regression with one predictor
- inference in regression and correlation analysis
- diagnostics and remedial measures
- simultaneous inferences

- Multiple Linear Regression
- general linear model in matrix terms
- ANOVA results
- extra sums of squares and their use in regression tests
- dealing with qualitative and quantitative predictors
- model selection and validation, diagnostics, and remedial measures
- intro to time series data: autocorrelation

- Nonlinear Regression
- intro to nonlinear regression and neural networks
- logistic and poisson regression

- single-factor studies
- analysis of factor level means
- ANOVA diagnostics
- Multi-Factor Studies
- Two-Factor studies
- randomized complete block designs
- ANCOVA
- Multi-factor studies
- Random and Mixed Effects Models

- Specialized Study Designs
- nested designs
- released measure designs
- balanced incomplete block designs
- Factorial and fractional factorial designs
- response surface methodology

- Design and Analysis of Single Factor Studies