University of Minnesota, Twin Cities School of Statistics Stat 5102 Rweb

No. | Due Date | Ch.* | Problems | Comments |
---|---|---|---|---|

1 | Fri Jan 26 | N7 | 3, 4, 5, 8, 13, 14 | |

L7 | 17 | |||

N8 | 1, 2, 3 | |||

2 | Fri Feb 2 | N8 | 4, 5, 6, 7, 8, 9, 10, 11, 12 | In 8-8 you need to assume that mu_2 is nonzero. |

3 | Fri Feb 9 | L8 | 1, 4, 7 | |

N9 | 1, 4, 5, 6, 7, 8 | 9, 11, originally assigned moved to next week | ||

4 | Fri Feb 16 | L8 | 45, 49, 51a | |

N9 | 9, 11, 12ab, 13, 14, 15, 16, 17 | 18, 19, originally assigned moved to next week | ||

5 | Fri Feb 23 | L9 | 11, 12, 14, 16 | Produce P-values for all tests (use R if tables are inadequate). |

N9 | 18, 19, 20, 21, 24, 25 | |||

6 | Fri Mar 9 | L9 | 26, 38a**, 42, 52** | Produce P-values for all tests (use R if tables are inadequate). |

N9 | 26, 27, 28, 29 | |||

L7 | 38bcd, 42bcd, 68cd, 71 | |||

N10 | 1, 2 | |||

7 | Fri Mar 16 | N10 | 3, 4, 5, 6, 7, 8 | |

L10 | 1, 6 | Do both chi-square and likelihood ratio tests. | ||

8 | Fri Mar 23 | N11 | 1, 2, 3, 4, 9, 10 | In 11-3 use alpha = - 1 / 2. |

L7 | 77, 84ab | For problem 7-77 express the hyperparameters of the posterior in terms of the data and the hyperparameters of the prior (like Theorem 11.2 in the notes does for the two-parameter normal problem). In problem 7-84 "state of nature" means the value of the parameter. | ||

L8 | 41, 42 | In both problems "Bayes estimate assuming quadratic loss" is a long-winded way of saying "posterior mean." | ||

9 | Fri Apr 6 | N11 | 5, 6, 7, 8 | |

L9 | 34a-c, 35 | |||

N12 | Problem 2, originally assigned, moved to next assignment. | |||

L14 | 2, 3, 7**, 11 | Note Problem 11 proves Corollary 12.5 in the notes.
Erratum: Answer in Lindgren for 12-2 is wrong.
| ||

10 | Mon Apr 23 | N12 | 2, 3, 4, 5, 6, 7 | |

L14 | 19, 20 | |||

11 | Fri Apr 27 | N12 | 8, 9 | |

handout | ||||

12 | Fri May 4 | N12 | 10, 11, 12, 13 |

* Chapter "N1" means Chapter 1 of the course notes (handouts). Chapter "L1" means Chapter 1 of the textbook (Lindgren).

** Data typed in files for using Rweb.

http://www.stat.umn.edu/geyer/5102/prob9-38.dat http://www.stat.umn.edu/geyer/5102/prob9-52.dat http://www.stat.umn.edu/geyer/5102/prob14-7.dat