BOWLING GREEN STATE UNIVERSITY
          DEPARTMENT OF MATHEMATICS AND STATISTICS CALENDAR
 
                        Week of November 9 - 13

Monday, November 9

12:30 APPLIED MATHEMATICS SEMINAR  - Room 400 MSC
      J.Gordon Wade, Mathematics and Statistics, BGSU 
      "Mixed finite element methods"

 3:30 ANALYSIS SEMINAR  - Room 459 MSC
      Juan Bes, Mathematics and Statistics, BGSU 
      "Hypercyclic Vectors, IV"

 7:30 KME SPEAKER  - Room 459 MSC
      Dr. Paul Boisen, National Security Agency
      "Coffee cups, nephroids, and envelopes"

      Information on this presentation can be found at: 
      http://www.cacr.caltech.edu/~roy/Caustic/

      In addition, Dr. Boisen will be available to talk with students
      on Monday morning from 9:30-11:30 in MSC 400, and off and on
      throughout the afternoon in the undergraduate reading room.  He
      has pamphlets and other information about careers and internship
      programs at the NSA.  If anyone wants to set up a time to meet
      with Dr. Boisen, please contact Curt Bennett (cbennet@bgnet).
      He will be taken to lunch at 11:30.

Tuesday, November 10

10:30 ALGEBRA SEMINAR  - Room 459 MSC
      Warren McGovern, Mathematics and Statistics, BGSU 
      "Lattice-ordered groups: hyper-archimedean l-groups"

 3:30 GROUPS AND GEOMETRIES SEMINAR  - Room 459 MSC
      Sergey Shpectorov, Mathematics and Statistics, BGSU 
      "The Leech lattice and Conway groups"

Wednesday, November 11
 
 Veterans' Day.  No classes or seminars are scheduled.
      
Thursday, November 12

 3:30 GROUPS AND GEOMETRIES SEMINAR  - Room 459 MSC
      Sergey Shpectorov, Mathematics and Statistics, BGSU 
      "The Leech lattice and Conway groups"

 7:00 ACTUARIAL SCIENCE SOCIETY SPEAKER  - Room 459 MSC
      Watson Wyatt Worldwide will present a synopsis of what they do.

Friday, November 13

 3:30 Coffee
 3:45 COLLOQUIUM  - Room 459 MSC
      Myles Hollander, Florida State University
      "CENSORED!"
      Abstract: Being a statistician is a little like being a
        detective. We are often dealing with data and looking for
        clues in data.

        What do the data reveal?

        What conclusions should be drawn?

        What decisions should be made?

        What models can we build to make predictions for similar
        situations?

        In some situations the data exist to tell the story but they
        are obscured, blurred by confusing or selective
        presentation. The first case he will discuss is one such
        situation.

        In some other situations the data are incomplete or censored
        because some of the subjects in the study have not yet
        experienced the event of interest, such as relapse in a
        clinical trial. The second part of his talk is about such
        censored situations.

        The talk is designed for a general audience.