1999 Lukacs Symposium participants
Current as of April 20, 1999
James H. Albert
Department of Mathematics and Statistics
Bowling Green State University, Bowling Green, OH USA
Elizabeth Anderson
Sciences International, Inc.
Alexandria, VA USA
Kolawole Olumide Babalola
Department of Human Ecology
Vrije Universiteit Brussels, Belgium
Robert C. Bailey
Department of Zoology
University of Western Ontario, London, Ontario, Canada
The scale dependency of biological assessment - Paradigms lost or
shifted
Senin Banga
Department of Statistics
Pennsylvania State University, University Park, PA USA
Karen Boomer
Department of Statistics
Pennsylvania State University, University Park, PA USA
Comparison of measures to assess ecosystem degradation using remote imagery
Robert J. Buck
Department of Mathematics and Statistics
Western Michigan University, Kalamazoo, MI USA
Harold E. Burkhart
Department of Forestry
Virginia Polytechnic Institute and State University, Blacksburg, VA USA
Modeling forest stand dynamics in a changing environment
Katherine Campbell
Geoanalysis Group
Los Alamos National Laboratory, Los Alamos, NM USA
Linking meso-scale and micro-scale models: The statistical disaggregation
problem
Daniel B. Carr
Operations Research & Applied Statistics
George Mason University, Fairfax, VA USA
New templates for environmental graphics: From micromaps to global grids
John H. Carson
IT Corporation
Findlay, OH USA
Composite sampling inference using the principle of maximum entropy
Hal Caswell
Biology Department
Woods Hole Oceanographic Institution, Woods Hole, MA USA
Matrix population models: Statistical issues
P. C. Chatwin
School of Mathematics and Statistics
University of Sheffield, Sheffield, UK
Models for atmospheric dispersion: Some examples of interactions between physics and statistics
Hanfeng Chen
Department of Mathematics and Statistics
Bowling Green State University, Bowling Green, OH USA
George Christakos
Department of Environmental Science and Engineering
University of North Carolina, Chapel Hill, NC USA
The holistochastic character of environmental health statistics
Robert Costanza
Center for Environmental & Estuarine Studies
University of Maryland, Solomons, MD USA
Lawrence H. Cox
National Exposure Research Lab
U.S. Environmental Protection Agency, Research Triangle Park, NC USA
Estimation of regional trends in sulfur dioxide over the Eastern United
States
Thomas Curran
Information Transfer & Program Integration Division
U.S Environmental Protection Agency, Research Triangle Park, NC USA
Communicating quantitative information to decision makers
Brian Dennis
Wildlife and Range Sciences
University of Idaho, Moscow, ID USA
Fly-bys, saddles, and chicken steps in ecological time series
Mark Ducey
Department of Natural Resources
University of New Hampshire, Durham, NH USA
A. H. El-Shaarawi
National Water Research Institute
Burlington, Ontario, Canada
Microbiological water quality regulations: Uncertainties in applications
Paul Feder
Statistics & Data Analysis Systems
Battelle, Columbus, OH USA
Monte Carlo risk assessment aggregate exposure models
Danila Filipponi
Department of Statistics
Pennsylvania State University, University Park, PA USA
Use of indicator kriging to improve spatial coherence of thematic
raster maps
Francesca Gallo
Dipartimento di Statistica
Universita Degli Studi di Roma, Rome, Italy
Robert D. Gibbons
Departments of Biometry and Psychiatry
University of Illinois at Chicago, Chicago, IL USA
Environmental regulatory statistics: A brief history and future
direction
Carl V. Gogolak
Environmental Measurements Laboratory
US Department of Energy, New York, NY USA
Jeffrey Gove
Northeast Forest Experiment Station
Durham, NH USA
Angle gauge sampling of downed coarse woody debris: A conspectus
Roger Green
Department of Zoology
University of Western Ontario, London, Ontario, Canada
Timothy G. Gregoire
School of Forestry and Environmental Studies
Yale University, New Haven, CT USA
Improved estimation following Poisson sampling: A forestry perspective
Kevin Gross
Departments of Zoology and Statistics
University of Wisconsin-Madison, Madison, WI USA
Optimal sample allocation for demographic matrix models
Arjun K. Gupta
Department of Mathematics and Statistics
Bowling Green State University, Bowling Green, OH USA
Jessica Gurevitch
Department of Ecology and Evolution
State University of New York, Stony Brook, NY USA
Meta-analysis in ecology and evolution: A brief history
Peter Guttorp
Department of Statistics
University of Washington, Seattle, WA USA
The future of environmental statistics
John L. Hayden
Department of Mathematics and Statistics
Bowling Green State University, Bowling Green, OH USA
Thomas A. Hern
Department of Mathematics and Statistics
Bowling Green State University, Bowling Green, OH USA
Richard C. Hertzberg
National Center for Environmental Assessment
U.S. Environmental Protection Agency, Cincinnati, OH USA
Statistical methods for risk assessment based on limited data but pretty
good ideas
Christian Heumann
Institut fuer Statistik
University of Munich, Muenchen, Germany
Likelihood-based regression methods for correlated categorical
response with application to forest damage data
David M. Higdon
Institute of Statistics & Decision Science
Duke University, Durham, NC USA
Modelling spatial covariance through process convolutions
William Huber
Quantitative Decisions
Merion, PA USA
Potential errors in selecting regions for a focused soils remediation
William F. Hunt, Jr.
Emissions, Monitoring and Analysis Division
U.S. Environmental Protection Agency, Research Triangle Park, NC USA
National air quality and emission trends: The nation's report card
on air pollution
Donald A. Jackson
Department of Zoology
University of Toronto, Toronto, Ontario Canada
Procrustean approaches for analysis and hypothesis testing
K. G. Janardan
Department of Mathematical Sciences
Eastern Michigan University, Ypsilanti, MI USA
On a distribution associated with a stochastic process in ecology
Douglas H. Johnson
Northern Prairie Wildlife Research Center
U.S. Geological Survey, Jamestown, ND USA
Toward better atlases: Improving presence-absence information
Glen Johnson
Center for Statistical Ecology and Environmental Statistics
Pennsylvania State University, University Park, PA USA
Quantitative characterization of watershed-delineated landscape patterns
in Pennsylvania: An evaluation of conditional entropy profiles
Mark S. Kaiser
Department of Statistics
Iowa State University, Ames, IA USA
The roles of trend and dependence in modeling stochastic processes
Polona Kalan
Slovenian Forestry Institute
University of Ljubljana, Ljubljana, Slovenia
How to plan a long-term soil survey?
John C. Kern
Institute of Statistics and Decision Sciences
Duke University, Durham NC USA
Kazim Khan
Department of Mathematics and Computer Science
Kent State University, Kent, OH USA
Ralph Kodell
Division of Biometry and Risk Assessment
National Center for Toxicological Research, Jefferson, AR USA
Statistical models of health risk due to microbial contamination of foods
Michael Koehl
Forest Biometrics and Computer Sciences
Dresden University of Technology, Dresden, Germany
Reliability of international environmental statistics
Katarina Kosmelj
Biotechnical Faculty
University of Ljubljana, Ljubljana, Slovenia
Radha G. Laha
Department of Mathematics and Statistics
Bowling Green State University, Bowling Green, OH USA
Pierre Legendre
Departement de Sciences Biologiques
Universite de Montreal, Montreal, Quebec, Canada
Distance-based redundancy analysis: Testing multi-species responses
in multifactorial ecological experiments
Bai-Lian Li
Department of Biology
The University of New Mexico, Albuquerque, NM USA
Measuring dynamic biodiversity
Ta-Hsin Li
Department of Mathematical Sciences, T. J. Watson Research Center
Yorktown Heights, NY USA
and
Department of Statistics and Applied Probability
University of California, Santa Barbara, CA USA
Multiscale representation and analysis of spherical data by spherical wavelets
Ernst Linder
Department of Mathematics and Statistics
University of New Hampshire, Durham, NH USA
Spatial-temporal analyses in global climate change research:
From small scale to large scale
John R. Lockwood III
Department of Statistics
Carnegie Mellon University, Pittsburgh, PA USA
Craig S. Loehle
National Council for Air and Stream Improvement
Naperville, IL USA
Optimal control of distributed processes on landscapes: The SWAP algorithm
Kamlesh P. Lulla
Office of Earth Sciences
NASA/Johnson Space Center, Houston, TX USA
Ian B. MacNeill
Department of Statistical and Actuarial Science
University of Western Ontario, London, Ontario, Canada
Estimation of incidence rates using sequential screening
Elizabeth Margosches
U. S. Environmental Protection Agency
Washington, DC, USA
Health data: How do we use it to protect the public/environment?
James H. Matis
Department of Statistics
Texas A&M University, College Station, TX USA
On bees and mites and their interactions: What can stochastic
population models tell us
Jaroslav Mohapl
Atmospheric Environment Service
Ontario, Canada
Statistical aspects of air pollutant transport modeling
Wayne L. Myers
Environmental Resources Research Institute
Pennsylvania State University, University Park, PA USA
Pattern extraction and compression for large multivariate datasets
Alessia Naccarato
Dipartimento di Statistica
Universita Degli Studi di Roma, Rome, Italy
Elena N. Naumova
Department of Family Medicine and Community Health
Tufts University School of Medicine, Boston, MA USA
Modeling waterborne infectious outbreak: Time series approach
James L. Norris III
Department of of Mathematics & Computer Science
Wake Forest University, Winston-Salem, NC USA
Nonparametric MLE for heterogeneous Poisson species abundance models
Sarah Nusser
Department of Statistics
Iowa State University, Ames, IA USA
Recent developments in the National Resources Inventory Survey Program
Samuel Ofori-Nyarko
Department of Mathematics
University of Tennessee
Anthony R. Olsen
National Health and Environmental Effects Research Laboratory
U. S. Environmental Protection Agency, Corvallis, OR USA
Sample surveys of aquatic resources
Laszlo Orloci
Department of Plant Sciences
University of Western Ontario, London, Ontario, Canada
From order to causes: In pursuit of syndynamic principles
Omer Ozturk
Department of Statistics
Ohio State University, Columbus, OH USA
Ranked set sample allocation procedures for two-sample median
and Mann-Whitney-Wilcoxon tests
Helen Parise
Department of Biostatistics
Harvard University
Incorporation of historical controls using semiparametric mixed models
G. P. Patil
Center for Statistical Ecology and Environmental Statistics
Pennsylvania State University, University Park, PA USA
Bernard C. Patten
Institute of Ecology
University of Georgia, Athens, GA USA
Network aggradation: An ecological perspective on how ordering can exceed
disordering in steady-state systems far from equilibrium
Edsel Peña
Department of Mathematics and Statistics
Bowling Green State University, Bowling Green, OH USA
Joe N. Perry
Department of Entomology & Nematology
Rothamsted Experimental Station, Harpenden, Hertfordshire, UK
Red-blue plots for detecting clusters in count data
Kenneth H. Pollock
Department of Statistics
North Carolina State University, Raleigh, NC USA
Combining multiple types of sampling in capture-recapture modeling
C. R. Rao
Center for Multivariate Analysis
Pennsylvania State University, University Park, PA USA
Stephen L. Rathbun
Department of Statistics
The University of Georgia, Athens, GA USA
Geostatistical methods for predicting the mercury contamination of
soils in the Florida Everglades
N. Phillip Ross
Center for Environmental Information and Statistics
U.S. Environmental Protection Agency, Washington, DC, USA
J. Andy Royle
Adaptive Management and Assessment Team
U.S. Fish and Wildlife Service, Laurel, MD USA
Multivariate models for avian population count data, with
application to the North American Breeding Bird Survey
Estelle Russek-Cohen
Department of Animal Sciences
University of Maryland, College Park, MD USA
Frontier models for the intermolt period in crustaceans
John R. Sauer
United States Geological Survey
Patuxent Wildlife Research Center, Laurel, MD USA
Estimating regional abundance and population trajectories from
count data
Hans T. Schreuder
Forest & Range Experiment Station
U. S. Forest Service, Fort Collins,, CO USA
Inventory and monitoring in the USFS and other Natural Resources Agencies
of the USFS, can these efforts be merged?
Charles T. Scott
Northeastern Research Station
USDA Forest Service, Delaware, OH USA
J. Michael Scott
Forestry, Wildlife and Range Sciences
University of Idaho, Moscow, ID USA
Joseph Sedransk
Department of Statistics
Case Western Reserve University, Cleveland, OH USA
Estimation for small geographical areas
Bikas K. Sinha
Statistics and Mathematics Division
Indian Statistical Institute, Calcutta, India
Nonparametric evaluation of cleanup procedures
Bimal K. Sinha
Department of Mathematics & Statistics
University of Maryland, Baltimore, MD USA
Inference about the common mean of a bivariate normal
population with an environmental application
Mitchell Small
Civil and Environmental Engineering
Engineering and Public Policy
Carnegie Mellon University, Pittsburgh, PA USA
Statistical tools promoting stakeholder participation and improved science
for environmental decision making
Eric P. Smith
Department of Statistics
Virginia Polytechnic Institute and State University, Blacksburg, VA USA
Evaluating site impairment: Bayesian and classical approaches
Richard L. Smith
Department of Statistics
University of North Carolina, Chapel Hill, NC USA
Estimating spatially varying time trends
Andrew Solow
Woods Hole Oceanographic Institution
Woods Hole, MA USA
Some statistics for biological diversity
Keith M. Somers
Ontario Ministry of the Environment
Dorset Environmental Science Centre, Dorset, Ontario, Canada
A generalized approach for estimating temporal coherence in short time series
Danhong Song
Department of Mathematics and Computer Science
Ohio Northern University, Ada, OH USA
Clifford H. Spiegelman
Department of Statistics
Texas A&M University, College Station, TX USA
Howard B. Stauffer
Redwood Sciences Laboratory
USDA Forest Service, Arcata, CA USA
Application of a "generalized binomial model" for ranking old-growth
redwood stands in Northern California, using occupancy as an index of
marbled murrelet activity.
Alfred Stein
Department of Soil Science and Geology
Wageningen Agricultural University, Wageningen, The Netherlands
Variability in space and time of phenomena related to environment
and agriculture
Donald L. Stevens, Jr.
Dynamac Corporation
Corvallis, OR USA
Sample surveys of aquatic resources
William M. Stiteler
Syracuse Research Corporation
Syracuse, NY USA
Modeling the joint action of complex mixtures of disinfection
by-products (DBPs) in drinking water
Michael R. Stoline
Department of Mathematics and Statistics
Western Michigan University, Kalamazoo, MI USA
Experiences as a statistician comparing compliance well groundwater
concentrations to background at a site in Michigan using EPA guidance:
Where the rubber meets the road
Jiayang Sun
Department of Statistics
Case Western Reserve University, Cleveland, OH USA
Biased sampling: Test and estimation
Glenn Suter
National Center for Environmental Assessment
U.S. Environmental Protection Agency, Cincinnati, OH USA
Statistics and risk assessment
Gábor Székely
Department of Mathematics and Statistics
Bowling Green State University, Bowling Green, OH USA
Charles Taillie
Department of Statistics
Pennsylvania State University, University Park, PA USA
Multiscale modeling and analysis of watersheds and landscapes: A
frequency table approach
Jen Tang
School of Management
Purdue University, West Lafayette, IN USA
Mark F. Tardiff
Neptune and Company
Los Alamos, NM USA
Modeling plant phenology influences upon basin hydrology
Linda K. Teuschler
U.S. Environmental Protection Agency
National Center for Environmental Assessment, Cincinnati, OH USA
A comparative risk framework methodology (CRFM) for comparing
competing, disparate health risks for microbes and disinfection by-products
(DBP) in drinking water
Steven K. Thompson
Department of Statistics
Pennsylvania State University, University Park, PA USA
On design and model based approaches in adaptive sampling
Paolo Turchetti
Dipartimento di Statistica
Universita Degli Studi di Roma, Rome, Italy
A hierarchical decision-making procedure applied to the international
context for the reallocation of CO
emissions
K. F. Turkman
Center of Statistics
University of Lisbon, Lisbon, Portugal
Statistical screening methods and their applications in
environmental studies
Jay M. Ver Hoef
Alaska Department of Fish and Game
Fairbanks, AK USA
Implications of hierarchical models on sampling designs for long
term monitoring of ecological data
John Warren
U. S. Environmental Protection Agency
Washington, DC, USA
The widening gap between two branches of environmental statistics
James V. Zidek
Department of Statistics
University of British Columbia, Vancouver, BC, Canada
Statistical models of health risk due to microbial contamination of foods
Dale L. Zimmerman
Department of Statistics and Actuarial Science
University of Iowa, Iowa City, IA USA
Bayesian modeling of spatial point patterns in ecology
Craig Zirbel
Department of Mathematics and Statistics
Bowling Green State University, Bowling Green, OH USA
Passive tracer transport and dispersion by random fluid flows
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