Weekly Calendar of Seminars, Talks, and Events

Department of Mathematics & Statistics
Bowling Green State University

Jump to Colloquium Announcement.
                   Week of March 30 - April 3, 1998

Monday, March 30

11:30 MATHEMATICS EDUCATION SEMINAR  - Room 447 MSC

 2:30 ALGEBRA SEMINAR  - Room 447 MSC
      Kay Magaard, Wayne State University
      "The Guralnick-Thompson conjecture for groups of bounded genus"

 3:30 STATISTICS SEMINAR SERIES  - Room 459 MSC
      Jiahua Chen, University of Waterloo, visiting BGSU this semester
      "Empirical Likelihood Methods"

Tuesday, March 31

10:30 GRADUATE STUDENT SEMINAR  - Room 459 MSC
      Vena Pearl Bongolan, Mathematics and Statistics, BGSU

 2:30 SCIENTIFIC COMPUTATION SEMINAR  - Room 459 MSC
      So-Hsiang Chou, Mathematics and Statistics, BGSU
      "Cycles and Bifurcation"

 2:30 MAPLE WORKSHOP  - Scientific Computing Lab, MSC
      John Gresser, Mathematics and Statistics, BGSU. 

 3:30 FACULTY MEETING  - Room 459 MSC
      Preparation for department retreat this Saturday.

Wednesday, April 1

11:30 MATHEMATICS EDUCATION SEMINAR  - Room 447 MSC
      
Thursday, April 2

 1:00 STATISTICAL COMPUTING SEMINAR  - Room 459 MSC
      Jane Harvill, Applied Statistics and Operations Research, BGSU
      "Density estimation"

Friday, April 3
      
 3:30 Coffee
 3:45 COLLOQUIUM  - Room 459 MSC
      Grahame Bennett, Indiana University
      "Hardy, Littlewood and Polya revisited"
      Abstract: This is a talk about elementary inequalities and is
        suitable for a general audience. The inequalities to be
        discussed all arose from problems in Functional Analysis, but
        their origins will be described only briefly here. Instead, we
        concentrate on the inequalities themselves, attempting to add
        one theorem to each of the chapters of Hardy, Littlewood and
        Polya's classic work: "Inequalities." The theorems (in keeping
        with the spirit of HLP) need to be easy to state, yet
        not-so-easy to prove, and they need to have pizzazz. Come see
        how to compete with the masters at their own game: if the
        speaker can do it, then so can you! (Or come see the speaker
        fall on his pizzazz.)

***************************************************************************

Saturday, April 4

 9:30 - 3:00  DEPARTMENT RETREAT  - Best Western Falcon Plaza, Bishop Room

***************************************************************************

Monday, April 6

 3:30 COLLOQUIUM  - Room 220 MSC    *** note change of room ***
      C. R. Rao, 1998 Distinguished Lukacs Professor, BGSU
      "Cross Examination of Data"
      Abstract: Statisticians are generally called upon to work on
        data collected by others. In order to understand the data as
        to how they are generated and come to be recorded, and to
        choose a suitable stochastic model for analysis, it is
        necessary to do an initial analysis of data.  Fisher calls
        such an analysis, Cross Examination of Data, which literally
        means questioning the data eliciting answers.  Some possible
        defects occurring in observed data are due to:
            * Unconscious editing of data
	    * Recording and copying errors
	    * Non-random errors
	    * Faking
	    * Contamination and spurious observations, outliers
	    * Incomplete frame of sampling
	    * Nonresponse, and so on.
        How does one detect such defects, and clean the data and make
        adjustments for them in data analysis?  Some examples will be
        given based on the speaker's experience of handling large sets
        of real data.

	There will be a brief introduction of the speaker by Professor
        Gabor Szekely prior to the talk.