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Andrew F. Siegel is Professor, Departments of Management
Science and Finance, School of Business, University of Washington,
Seattle. He is also Adjunct Professor in the Department of Statistics and
in the Department of Molecular Biotechnology. He has a Ph.D. in statistics
from Stanford University (1977), an M.S. in mathematics from Stanford
University (1975), and a B.A. in mathematics and physics summa cum laude
with distinction from Boston University (1973). Before settling in
Seattle, he held teaching and/or research positions at Harvard University,
the University of Wisconsin, the RAND Corporation, the Smithsonian
Institution, and Princeton University. He also lectures from time to time
as a visiting professor at the University of Burgundy at Dijon, France,
and at the Sorbonne in Paris. The very first time he taught statistics in
a business school (University of Washington, 1983) he was granted the
Professor of the Quarter award by the MBA students. He was named the Grant
I. Butterbaugh Professor beginning in 1993; this endowed professorship was
created by a highly successful executive in honor of Professor Butterbaugh,
a business statistics teacher. (Students: perhaps you will feel this way
about your teacher 20 years from now.) Other honors and awards include
Burlington Northern Foundation Faculty Achievement Awards, 1986 and 1992;
Research Associate, Center for the Study of Futures Markets, Columbia
University, 1988; Excellence in Teaching Awards, Executive MBA Program,
University of Washington, 1986 and 1988; Research Opportunities in
Auditing Award, Peat Marwick Foundation, 1987; and Phi Beta Kappa, 1973.
He belongs to the American Statistical Association, where he has served as
Secretary-Treasurer of the Section on Business and Economic Statistics. He
has written three other books: Statistics and Data Analysis: An
Introduction (Second Edition, Wiley, 1996, with Charles J. Morgan),
Counterexamples in Probability and Statistics (Wadsworth, 1986, with
Joseph P. Romano), and Modern Data Analysis (Academic Press, 1982,
co-edited with Robert L. Launer). His articles have appeared in many
publications, including the Journal of the American Statistical
Association, the Journal of Business, Management Science, the Journal of
Finance, the Encyclopedia of Statistical Sciences, the Journal of
Financial and Quantitative Analysis, the American Mathematical Monthly,
the Journal of the Royal Statistical Society, the Annals of Statistics,
the Annals of Probability, the Society for Industrial and Applied
Mathematics Journal on Scientific and Statistical Computing, the Journal
of Computational Biology, Genome Research, Biometrika, Auditing: A Journal
of Practice and Theory, Contemporary Accounting Research, the Journal of
Futures Markets, and the Journal of Applied Probability. He has consulted
in a variety of business areas, including election predictions for a major
television network, statistical algorithms in speech recognition for a
prominent research laboratory, television advertisement testing for an
active marketing firm, quality control techniques for a supplier to a
large-scale laboratory, electronics design automation for a Silicon Valley
startup and portfolio diversification analysis for a fund management
company.
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