**R.
Dennis Cook** received his Ph.D. in Statistics from Kansas State
University in 1971. He is the author of the new Wiley book *Regression
Graphics: Ideas for Studying Regressions Through Graphics* (published
in Sep 1998) and numerous articles in statistics and applications journals.
He is a Fellow of the ASA, IMS and a member of the International Statistical
Institute.

**Sanford
Weisberg** received his Ph.D. in Statistics from Harvard University
in 1973. He is the author of *AppliedLinear Regression*,
Second Edition, and numerous articles in statistics and applications journals.
He is a Fellow of the ASA and a member of the International Statistical
Institute.

Cook, R. Dennis (1998): *Regression Graphics:
Ideas for Studying Regressions Through Graphics.* Wiley, New
York.

Furthermore, there is a new Wiley-book entitled *Applied Regression
Including Computing and Graphics* that will correspond exactly to the
short course. It is scheduled to be published sometime between August 1st
and September 10th.

The methodology described is very general, and can be used in almost any regression problem. In the course of the workshop, we will work examples with both continuous and binary responses.

All the methodology discussed will be illustrated with a computer package
called *R-code* that can be used for all the new methods described,
and many standard methods for linear regression, nonlinear regression and
generalized linear models. A copy of the most recent version of *R-code*,
which runs on the Mac, PC or Unix, will be made available to all workshop
participants for use in their own work.

Much of the material in this workshop will be drawn from *An Introduction
to Regression Graphics*, published by Wiley in 1994. Prerequisite for
this course is familiarity with standard regression methodology at the
level of one of the major textbooks in this area.

Regression graphics has developed rapidly over the past six years, and many new developments are in progress. The topics for this course were selected to be immediately useful in applications, to set the stage for future study in the area and to show its promise. The present literature contains much more on regression than will be presented in this course.

**[2] Foundations.** In this
second hour, we will provide the fundamental ideas for re-inventing regression
thru graphics. This includes the structural dimension of the problem, defining
and finding sufficient summary plots, the role of the distribution of the
predictors, and using graphs for inference.

**[3] Finding summary plots**
and exploring the importance of linear predictors.

**[4] Graphics for regressions with a binary
response.**

**[5] Graphical Regression.**
Graphical regression provides methodology for finding structural dimension,
and then building models, in problems with many predictors. The innovation
here is that the methodology is graphical, not numeric, so the analysis
can actually see the models that are suggested.

**[6] Special-purpose graphics.**
In this last hour, we will discuss two special types of graphs, net-effects
plots, and marginal model plots. Net-effects plots provide an accurate
graphical summary of the effect of a predictor in a regression problem.
They can be particularly useful in visualizing the effect of a treatment
after adjusting for covariates. We conclude with marginal model plots which
provide a way of deciding if a model is appropriate or not without using
residuals.

before June 1st 1999: |
FIM 300 = ca. USD 60 | Students: FIM 30 |

after June 1st 1999: |
FIM 400 | Students: FIM 200 |

All participants are required to register on arrival. The registration
desk will be at the Pinni Building of the University of Tampere on Kalevantie,
and will be open on Thursday, August 19th, from 09:00 onwards.

13:00-14:15 Lunch

14:15-17:00 Afternoon Sessions

17:15-18:30 Coffee & Cookies in the Department

All lectures will be held in Paavo Koli Auditorium of the Pinni Building.

Dept. of Mathematics, Statistics and Philosophy

University of Tampere, P.O. Box 607

FIN-33101 Tampere, FINLAND

fax: +358-3-215-6157

workshop99@uta.fi

http://www.uta.fi/~sjp/workshop99.html

Workshop on Matrices and Statistics, Tampere, August 6th-7th, 1999.

[Updated: 7 April 1999]