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Appendix C
Biographical Sketches of
Panel Members and Staff
STEPHEN POLLOCK (Chair) is Herrick professor of manufacturing in
the Department of Industrial and Operations Engineering at the Univer-
sity of Michigan. His research interests are in mathematical modeling, op-
erations research, and Bayesian decision theoretic methods. A former mem-
ber of the U.S. Army Science Board (1994-1999), he was a member of the
National Research Council's (NRC) Committee on Applied and Theoreti-
cal Statistics, and he also served on the Panel on Statistical Methods for
Testing and Evaluating Defense Systems of the Committee on National
Statistics. In addition to his career at the University of Michigan, he spent
four years at the U.S. Naval Postgraduate School. He has S.M. and Ph.D.
degrees in physics and operations research from the Massachusetts Insti-
tute of Technology.
SETH BONDER was until recently chairman and chief executive officer
of Vector Research. His area of expertise is military strategy and decision
making. He is a member of the National Academy of Engineering, a fellow
of the Military Operations Research Society, winner of the Kimball Award
from the Operations Research Society of America, recipient of the Award
for Patriotic Civilian Service (awarded by the secretary of the Army), and
the Vance R. Wanner Memorial Award winner from the Military Opera-
tions Research Society. He was a member of the U.S. Defense Science Board
summer studies on new operational concepts and on fire support opera-
tions. He is a member of the U.S. Army Science Board. He served as a first
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IMPROVED OPERATIONAL TESTING AND EVALUATION
lieutenant and a captain of the U.S. Air Force. He has a Ph.D. in industrial
engineering (operations research) from Ohio State University.
MARION BRYSON is director of research and development at North Tree
Fire, International. He was until recently technical director, TEXCOM
Experimentation Command, Fort Hood, Texas, and prior to that, director
CDEC, Fort Ord, California. He has extensive experience in testing and
evaluating defense systems in development. He served as a member of the
NRC's Panel on Statistical Methods for Testing and Evaluating Defense
Systems of the Committee on National Statistics. He is also a past president
and fellow of the Military Operations Research Society, a recipient of the
Vance Wanner Memorial Award for leadership in operations research from
the Military Operations Research Society, and a recipient of the S.S. Wilks
award for research in experimental design. He served as the chief scientist
on a task force that developed the requirements for the Apache helicopter,
and was a previous associate editor of MORS. He has a Ph.D. in statistics
from Iowa State University.
MICHAEL L. COHEN is a senior program officer for the Committee on
National Statistics. Previously, he was a mathematical statistician at the
Energy Information Administration, an assistant professor in the School of
Public Affairs at the University of Maryland, a research associate at the
Committee on National Statistics, and a visiting lecturer at the Depart-
ment of Statistics, Princeton University. He is a fellow of the American
Statistical Association. His general area of research is the use of statistics in
public policy, with particular interest in census undercount and model vali-
dation. He is also interested in robust estimation. He has a B.S. degree in
mathematics from the University of Michigan and M.S. and Ph.D. degrees
in statistics from Stanford University.
NAMES P. McGEE has been since 1994 a senior project officer at the NRC.
In addition to directing this panel, he directs the Panel on Assessing the
Scientists and Engineers Statistical Data System of the Committee on Na-
tional Statistics; projects on health and safety needs of older workers and on
susceptibility of older persons to environmental hazards of the Board on
Behavioral, Cognitive, and Sensory Sciences; and the panel on soldier sys-
tems of the Army Research Laboratory Technical Assessment Board. He
has also supported numerous other NRC projects in the areas of human
factors psychology, engineering, and education. Prior to joining the NRC,
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APPENDIX C: BIOGRAPHICALSKETCHES
111
he held technical and management positions as an applied cognitive psy-
chologist at IBM, General Electric, RCA, General Dynamics, and Sikorsky
Aircraft corporations. He has a B.A. from Princeton University and a Ph.D.
from Fordham University, both in psychology, and for several years in-
structed postsecondary courses in applied psychology.
WILLIAM Q. MEEKER is distinguished professor of liberal arts and sci-
ences in the Department of Statistics at Iowa State University. His area of
expertise is reliability assessment in industrial settings. He is a fellow of the
American Statistical Association, an elected member of the International
Statistical Institute, a winner of the Frank Wilcoxon prize for the best prac-
tical application paper in Technometrics (three times), and a winner of the
Youden prize for the best expository paper in Technometrics (also three
times). His book (coauthored with Luis A. Escobar) Statistical Methods for
Reliability Data won the Excellence and Innovation in Engineering Award
from the Professional/Scholarly Publishing Division of the Association of
American Publishers. He has extensive service as editor and associate editor
of Technometrics and other distinguished journals. He has a Ph.D. in statis-
tics from Union College.
VIlAYAN NAIR is a professor and currently chair in the Department of
Statistics at the University of Michigan. Prior to this, he worked for 12
years as a research scientist at Bell Laboratories. His area of expertise is
statistical methods applied to industrial problems, especially in experimen-
tal design. He is a fellow of the American Statistical Association, a fellow of
the Institute of Mathematical Statistics, an elected member of the Interna-
tional Statistical Institute, and a senior member of the American Society for
Quality. He is a winner of the Frank Wilcoxon prize for best practical appli-
cations paper in Technometrics, and he served as its editor from 1990 to
1992. He was a member of the NRC's Panel on Statistical Methods for
Testing and Evaluating Defense Systems of the Committee on National
Statistics and also served on the Panel on Information Technology. He has a
Ph.D. in statistics from the University of California, Berkeley.
JOHN ROLPH is a professor and chair of the industrial operations and
management department in the Marshall School of Business at the Univer-
sity of Southern California. Previously he spent 24 years as a statistician at
RAND, 12 of them as head of the statistical research and consulting group.
His area of expertise is empirical Bayes estimation and statistics and public
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IMPROVED OPERATIONAL TESTING AND EVALUATION
policy. He is an elected member of the International Statistical Institute, a
fellow of the American Statistical Association, a fellow of the Institute of
Mathematical Statistics, and a fellow of the Royal Statistical Society. He has
served as a member and now chair of the NRC's Committee on National
Statistics, and as member of its Panel on Statistical Methods for Testing and
Evaluating Defense Systems. He has also served on three other panels of the
NRC. He was for three years editor of Chance magazine and in many other
editorial capacities. He has a Ph.D. in statistics from the University of Cali-
fornia, Berkeley.
FRITZ SCHOLZ is senior statistical analyst in the applied statistics group
of The Boeing Company, where he has worked for 23 years. While work-
ing for Boeing he has worked on reliability problems in a large variety of
industrial settings, including analysis of airplane accident data, analysis of
engine failures, modeling of software reliability, nuclear safety, the reliabil-
ity of rocket motors, nonparametric risk assessment, development of com-
puter models for lightning risk assessment, spares forecasting, and space
debris risk assessment. He has contributed to activities related to MIL-
HDBK-5 and -17. He was a presenter at the workshop on reliability issues
for defense systems held by the NRC's Committee on National Statistics.
He is a Boeing technical fellow and a fellow of the American Statistical
Association. He has a Ph.D. in statistics from the University of California,
Berkeley.
HAL STERN is professor and chair in the Department of Statistics at the
University of California, Irvine. His area of expertise is Bayesian methods.
He is coauthor of Bayesian Data Analysis (with Andrew Gelman, John
Carlin, and Donald Rubin). He is a fellow of the American Statistical Asso-
ciation and has served as editor of Chance magazine. He has a Ph.D. from
Stanford University.
ALYSON WILSON is a technical staff member of the Los Alamos Labora-
tory Statistical Sciences Group. Prior to that, she was employed by Cowboy
Programming Resources, Inc., where she provided analytic support for U.S.
Army operational tests of air defense weapon systems. She has written on
operational test and evaluation and the use of Bayesian methods. She has a
Ph.D. in statistics from Duke University, where her thesis was selected as
the winner of the Savage Dissertation Award by the American Statstical
Association's section on bayesian statistics.
Representative terms from entire chapter:
national statistics
