![](george.gif) |
George S.
Fishman
Professor Emeritus
Department
of
Operations
Research
University
of
North
Carolina
at
Chapel
Hill
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Contact
|
134 Hanes Hall
UNC Campus
Telephone:
(919)
962-3835
Departmental tel.: (919) 962-1275
FAX:
(919)
962-0391
E-mail: gfish@email.unc.edu
Mailing Address:
CB #3260, UNC
Chapel Hill, NC
27599-3260
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Research Areas
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Discrete-event simulation
Monte Carlo sampling
Design and analysis of large-scale
simulation
experiments
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Recent
Publications
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- A First Course in Monte Carlo, Thomson Brooks/Cole, 2005. For errata, see fcmc_errata.pdf.
- Discrete-Event
Simulation: Modeling, Programming, and Analysis, New
York, Springer-Verlag, 2001. For errata,
see des_errata.pdf
.
- Monte
Carlo: Concepts,
Algorithms, and Applications, New
York, Springer-Verlag, 1996.
- An analysis of Swendsen-Wang
and related sampling
methods, J. Roy. Statist. Soc., B,
61,
Part 3, (1999) 623-641.
- Best- and worst-case variances when
bounds are available
for the distribution function, Computational
Statistics
and
Data
Analysis, 29, (1998), 35-53.
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Simulation Output
Analysis
Software |
LABATCH.2
is a collection of programs for statistically analyzing sample path
data
on a strictly stationary stochastic process. For each sample path in
its
input, it computes a sample mean and an asymptotically valid confidence
interval for the population mean. It also displays a sequence of
estimates
of the asymptotic variance of the sample mean that allows an assessment
of the quality of the final estimate of this quantity and,
consequently,
an assessment of the validity of the confidence interval.
fcmc contains
a collection
of programs that can facilitate Mont Carlo sampling. In
particular,
for the pseudorandom number generator
known as the Mersenne twister, MT19937, a
C-language
program, rng_afm.c, provides a means for
loading
seeds at the beginning of a run
and saving the final numbers in the
sub-sequence
at the end of the run.
This allows for non-overlapping
sub-sequences
on successive runs.
seed_file
contains seeds to initialize rng_afm.c.
ct.hm.c estimates the number of two-way
contingency tables with given row sums and column sums.
ct.chisq.c estimates the number of contingency
tables with chi-squared statistics no larger than a given value.
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Short
Biography
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Advancing
the Frontiers of Simulation: A Festschrift in Honor of George Samuel
Fishman, C. Alexopoulos, D. Goldsman, J. R. Wilson, eds,
Springer 2009.
Lanchester Prize (INFORMS)
for the 1996 outstanding publication in
Operations
Research and Management Sciences in English.
INFORMS College on Simulation Award
for the 1997
outstanding publication in simulation.
Distinguished Service Award (1990)
INFORMS College on Simulation
Ph.D.
(1970)
in
Biostatistics
UCLA
Analyst
The RAND Corporation
1962-70
Associate Professor
Administrative Sciences Department Yale
University
1970-74
Professor
Operations Research Department University
of
North Carolina
Chapel Hill, NC
1974-present
Complete_Curriculum_Vitae
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