Lecture will be

- 2:30pm-3:20pm MWF Vincent Hall 6.

Some classes will be held in a computer lab Ford Hall B53.

Which classes will be held Vincent 6 and which in Ford B53 will be announced in class and on the announcements section of the course home page.

- Charles Geyer
- Office: 356 Ford Hall.
- Other Office: 146D Classroom Office Building. I am only here Tuesday and Thursday mornings before my other class.
- Office hrs: 3:35-4:25 MWF in 356 Ford Hall and 10:40-11:30 TTh in 146D Classroom Office Building or whenever I am in my office and not busy (call to check or just drop by).
- Phone: 612-625-8511
- E-mail:
`charlie@stat.umn.edu`

- Matt Gregas
- Office hrs: to be announced
- Office (for office hrs.): 352 Ford Hall.
- Phone (for office hrs.): 612-626-1838
- Office: 492 Ford Hall.
- Phone: 612-626-9190
- E-mail:
`matt@stat.umn.edu`

- Hollander and Wolfe,
*Nonparametric Statistical Methods*, 2nd Edition, Wiley, 1999 (publisher's web page for the book) - Efron and Tibshirani,
*An Introduction to the Bootstrap*, Chapman & Hall / CRC Press, 1994 (publisher's web page for the book)

We will be tentatively covering the following chapters and sections of these books

Book | Ch. or Sec. |
---|---|

Hollander and Wolfe | Chapter 3 |

Chapter 4 | |

Section 5.5 | |

Chapter 6 | |

Chapter 7 | |

Chapter 8 | |

Section 11.5 | |

Section 11.6 | |

Efron and Tibshirani | Chapters 1-5 Review |

Chapter 6 | |

Chapter 7 | |

Chapter 8 | |

Chapter 9 | |

Chapter 12 | |

Chapter 13 | |

Chapter 14 | |

Chapter 15 | |

Chapter 16 | |

Chapter 22 |

Looking at the table above, it is obviously too much material to cover in a semester. We won't and can't cover all of every chapter listed above. So what this table is mainly good for is showing what will be omitted entirely (anything not on the list above).

- Don't Get Lost
- Exams
- Missed Exams
- Incompletes
- Homework
- Office Hours
- Grading
- It Isn't Over Until It's Over
- Disabled Students

Ask questions in class. If something isn't clear to you, it probably isn't clear to others either. Most questions arise because the instructor hasn't made a connection clear or has inadvertently left out an important point. Your question gives the instructor a chance to explain more clearly.

If you have difficulty with problems, ask for help from the instructor or TA. Don't wait until just before the exam (or worse just after) to ask for help. By then it may be too late.

The material covered by the exams will stated in class and on the course home page.

All exams will be take-home and use computers extensively. You will have the computer, the course web pages, all the on-line help for the R computer language. They will also be open book. You may get help from any non-human source (any reference whatsoever).

What you absolutely are not permitted is help from any person other than the instructor. And don't expect significant help from the instructor during an exam. I will clarify questions. I won't tell you how to do them.

University policy is that midterm and final exams
can be made up for legitimate absences, such as verified illness,
participation in other University-sponsored activities, jury duty,
military service, religious observances. If you must miss an exam,
make arrangements *in advance*. Talk to the instructor before
or after class or during office hours to make arrangements. If you
find you will miss an exam without having made arrangements, call the
instructor (612-625-8511) or, if he is not in, call the department office
(612-625-8046) and leave
a message. Do this *before the time of the exam*.

University and department policy is that "I" grades are used only when there is a small amount of unfinished work that the student can complete on his or her own before the end of the following semester, when there was a legitimate excuse why the work could not be done on time, and when arrangements have been made with the instructor as to when the work will be done. "I" grades are not given when there is a large amount of work undone and the student would need to attend the class in the next semester to learn the material.

Homework assignments will be assigned in class and on the homework assignments web page.

Homework will be accepted late without penalty until 5:00 on the day it is due or whenever the TA picks it up from her mailbox. In you don't hand in homework in class, put it in the TA's mailbox (labelled Lazar, Radu) in the hall near the School of Statistics office in the northwest corner of the third floor of Ford Hall.

Homework may be handed in late without penalty if there is a valid excuse and
an arrangement has been made with the instructor *in advance*.
Otherwise, there will be a 30% penalty for late homework up
to *two weeks* late. Homework more than two weeks late will not
be accepted.

Working together in groups on homework is not only permitted, even encouraged, but each student must do his or her own write-up of the solutions and fully understand them. Talking about problems with other people does help in learning, but just getting solutions doesn't.

They are there for your benefit. If you are having
difficulty, *please* come see the teaching assistants or instructor
or both during office hours to get help. If you cannot come to the
regularly scheduled office hours, make arrangements after the lecture
or lab to see us some other time. Or you can just phone and see if we
are available.

Midterms 50% (25% each), Final 25%, Homework 25%

Note: the final exam is just another exam, same weight as a midterm.

Graduate students are graded on a basis entirely separate from undergraduate and non-degree students.

There is a natural tendency to slack off after the second midterm, especially if you are doing well up to that point. Please, don't give in to it. About half the final exam covers material that is new since the second midterm. If you don't keep working hard the last few weeks, it can really hurt your grade. It seems to happen to several people every semester. Don't let it happen to you.

In conjunction with University of Minnesota Disability Services we will ensure equal learning opportunities for disabled students. Talk to the instructor and Disability Services to make arrangements.