
Walter A. Rosenkrantz
Professor, Department of Mathematics and Statistics
Ph.D., University of Illinois, 1963
M.S., University of Illinois, 1959
B.S., University of Chicago, 1957
Mailing Address:
Department of Mathematics & Statistics
710 North Pleasant Street
1432 Lederle Graduate Research Tower
University of Massachusetts
Amherst, MA 01003-9305
USA
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Office: LGRT 1432
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Office Hours: Tues. & Thurs. 2-3:30 pm; Wed. @1:30-3pm
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Phone: (413) 545-4254
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Fax: (413) 545-1801
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Research Interests:
My current research interests focus on the following problems:
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Mathematical modeling, simulation and statistical analysis of traffic
on modern communication networks. I am particularly interested in the phenomenon
of long range dependence as discussed in the paper by Rosenkrantz &
Horowitz, ``The Infinite Source Model for Internet Traffic: Statistical
Analysis and Limit Theorems", Methods and Applications of Analysis,
vol. 9, No. 3, pp 445-462, September 2002
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Confidence bands for empirical distribution functions when the theoretical
distribution depends on one or more parameters that must be estimated from
the data. In my paper ``Confidence Bands for Quantile functions: A Parametric
and Graphic Alternative for Testing Goodness-of-Fit", The American
Statistician, August 2000, vol. 54, No. 3, pp. 185-190, I derived bounds
for the theoretical quantile function. I have recently extended this result
to obtain a confidence band for the empirical quantile function itself,
thus generalizing Kolmogorov's Test for the uniform distribution to the
case where the distribution depends on one or more parameters that must
be estimated from the data. These results were presented at The Joint
Statistical Meetings , San Francisco, 6 August 2003.
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Statistics Education: See my textbook:
Introduction to Probability and Statistics for Scientists and Engineers,
1997
ISBN 0-07-053988-X
McGraw-Hill Series in Probability and Statistics,
Click here to download errata (pdf format)
This book was reviewed in the Journal of the Royal Statistical Society.
Series D (The Statistician), vol. 48, Part 3, p. 461, (1999).
Last Updated: 20 September 2004