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.)
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Saturday, April 4
9:30 - 3:00 DEPARTMENT RETREAT - Best Western Falcon Plaza, Bishop Room
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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.