SES # | TOPICS | SUPPORTING FILES |
---|---|---|

L1 | Overview of some Probability Distributions (PDF) | Body measurements data subset (weight, height, waist girth, abdomen girth) from this article: men, body_men.mat (MAT), women, body_women.mat (MAT) |

L2 | Maximum Likelihood Estimators (PDF) | |

L3 | Properties of Maximum Likelihood Estimators (PDF) | |

L4 | Multivariate Normal Distribution and CLT (PDF) | |

L5 | Confidence Intervals for Parameters of Normal Distribution (PDF) | Normal body temperature dataset from this article: normtemp.mat (MAT) (columns: temperature, gender, heart rate). |

L6 | Gamma, Chi-squared, Student T and Fisher F Distributions (PDF) | |

L7-L8 | Testing Hypotheses about Parameters of Normal Distribution, t-Tests and F-Tests (PDF) | |

L9 | Testing Simple Hypotheses and Bayes Decision Rules (PDF) | |

L10 | Most Powerful Test for Two Simple Hypotheses (PDF) | |

L11 | Chi-squared Goodness-of-fit Test (PDF) | |

L12 | Chi-squared Goodness-of-fit Test for Composite Hypotheses (PDF) | |

L13 | Tests of Independence and Homogeneity (PDF) | |

L14 | Kolmogorov-Smirnov Test (PDF) | |

L15-L16 | Simple Linear Regression (PDF) | |

L17-L18 | Multiple Linear Regression (PDF) |
Cigarette dataset - tar, nicotine, weight, carbon monoxide - from this article: cigarette.mat (MAT) OECD Economic Development dataset: per capita income, percentage of labor force in agriculture, percentage in industry, percentage in service occupations, found here: oecd.mat (MAT) |

L19-L20 | General Linear Constraints in Multiple Linear Regression and Analysis of Variance and Covariance (PDF) | Fruifly dataset from this article: fruitly.mat (MAT) |

L21 | Classification Problem, AdaBoost Algorithm (PDF) | |

L22 | Review |

## Lecture Notes

## Course Info

##### Instructor

##### Departments

##### As Taught In

Fall
2006

##### Level

##### Learning Resource Types

*grading*Exams

*notes*Lecture Notes

*assignment*Problem Sets