
Theobald, D.M., D.L. Stevens, Jr.,
D. White, N.S. Urquhart, A.R. Olsen, and J.B. Norman Using GIS to
generate spatiallybalanced random survey designs for natural resource
applications. To appear in Environmental
Management Ritter, K.J. and M.K. Leecaster (2007). MultiLag cluster enhancement of fixed grid sample designs for estimating the variogram in near coastal systems. Environmental and Ecological Statistics 14: . Gitelman, A.I. and A.T. Herlihy (2007). Isomorphic chain graphs for modeling spatial dependence in ecological data. To appear in Environmental and Ecological Statistics 14: . Ver Hoef, J.M., E.E. Peterson, and
D.M. Theobald (2006). Spatial statistical models that use flow
and stream distance. To appear in Environmental
and Ecological Statistics 13:
. Andrews, B., R.A. Davis, and F.J.
Breidt (2006). Rankbased estimation for allpass time series
models. To appear in the Annals
of Statistics . Thomas, D.E., B. Griffith, and
D.S. Johnson (2006). A Bayesian random effects discretechoice
model for resource selection: Populationlevel selection
inference. Journal of Wildlife
Management 70: 404412. Dailey, M.C, A.I. Gitelman, F.L.
Ramsey, and S. Starcevich (2007). Habitat selection models to
account for seasonal persistence in radio telemetry data. To appear in Environmental
and Ecological Statistics 14:
. Breidt, F.J., N.J. Hsu, and S. Ogle (2006). A semiparametric stochastic mixed model for incrementaveraged data with application to carbon sequestration in agricultural soils. To appear in the Journal of the American Statistical Association Brockwell, P.J., R.A. Davis, and V. Yang (2006). Continuoustime Gaussian autoregression. To appear in Statistica Sinica. Wang, H. and M.G. Ranalli (2006). Lowrank smoothing splines on complex domains. To appear in Biometrics 62: Peterson, E.E. and N.S. Urquhart
(2006). Predicting water quality impaired stream segments using
landscapescale data and a regional geostatistical model: A
case study in Maryland. To appear in Environmental
Monitoring and Assessment Peterson, E.E., A.A. Merton, D.M.
Theobald, and N.S. Urquhart (2006). Patterns of spatial
autocorrelation in stream water chemistry. To appear in Environmental Monitoring and Assessment Farnsworth, M.L., J.A. Hoeting,
N.T. Hobbs, and M.W. Miller (2006). Linking mule deer movement
scales to the spatial distribution of chronic wasting disease: a
hierarchical Bayesian approach. To appear in Ecological Applications 16: Breidt, F.J., N.J. Hsu, and W.J. Coar (2006). A diagnostic test for autocorrelation in incrementaveraged data with application to soil sampling. To appear in Environmental and Ecological Statistics 13:. Stevens, Jr. D.L. (2006). Spatial
properties of designbased versus modelbased approaches to
environmental sampling. ACCURACY 2006: Proceedings of the 7th
International Symposium on Spatial Accuracy Assessment in Natural
Resources and Environmental Sciences. July 57, 2006, Lisbon, Portugal
pp 119125 of 908. Andrews, B., R.A. Davis, and F.J. Breidt (2006). Maximum likelihood estimation for allpass time series models. Journal of Multivariate Analysis 97:16381659. {available online} Hoeting, J.A., R.A. Davis, A.A. Merton, and S.E. Thompson (2006). Model selection for geostatistical models. Ecological Applications 16: 8798. Theobald, D.M. (2006). Exploring the functional connectivity of landscapes using landscape networks. To appear in: Crooks, K.R. and M.A. Sanjayan (eds.). Connectivity Conservation: Maintaining Connections for Nature. Cambridge University Press. (Book to be published December, 2006) Davis, R.A., T.C.M. Lee, and G. RodriguezYam (2006). Structural break estimation for nonstationary time series models. Journal of the American Statistical Association 101:223239. Opsomer, J.D., F.J. Breidt, G.G.
Moisen, and G. Kauermann (2006). Modelassisted estimation of forest
resources with generalized additive models. To appear in the Journal of the American Statistical 101:
as a Discussed Paper in Applications and Case Studies. Johnson, D.S., J.A. Hoeting, and N.L. Poff (2006). Biological monitoring: A Bayesian model for multivariate compositional data. pp 270289 in Bayesian Statistics and its Applications, Eds. S. K. Upadhyay, U. Singh and D. K. Dey. Anamaya publishers: New Delhi. Hoeting, J. A. (2006). Some
perspectives on modeling species distributions. Discussion of
article by A.E. Gelfand, J.A. Silander, S. Wu, A. Latimer, P.O.
Lewis, A.G. Rebelo, M. Holder. Bayesian
Analysis 1: 9398.
{Webaccessible
here} Breidt, F.J., G. Claeskens, and
J.D. Opsomer (2005). Modelassisted estimation for complex
surveys using penalized splines. Biometrika
92: 831846. Davis, R.A., T.C.M. Lee, and G. RodriguezYam (2005). Structural break estimation for nonstationary time series signals. Proceedings of IEEE/SP 13th Workshop on Statistical Signal Processing, Bordeaux, France, July, 2005. Montanari, G.E. and M.G. Ranalli
(2005). Nonparametric
methods for sample surveys of environmental populations. Proceedings of the Meeting of the Italian
Statistical Society on Statistics and the Environment. September
2123, 2005, Messina, Italy CLEUP: 147158. Davis, R.A. and G. RodriguezYam (2005). Estimation for statespace models based on a likelihood approximation. Statistica Sinica 15: 381406. Breidt, F.J. and N.J. Hsu
(2005). Best
mean square prediction for moving averages. Statistica Sinica 15: 427446. Givens, G.H. and J.A. Hoeting (2005). Computational Statistics. John Wiley & Sons, NewYork, 418 pages. {Information is web accessible here} FranciscoFernandez, M. and J.D. Opsomer (2005). Smoothing parameter selection methods for nonparametric regression with spatially correlated errors. Canadian Journal of Statistics 33: 279295. {Abstract webaccesible here} Opsomer J.D. and C.P. Miller
(2005). Selecting the amount of smoothing in nonparametric
regression estimation for complex surveys. Journal of Nonparametric Statistics 17:
593611. Montanari, G.E. and M.G. Ranalli (2005). Nonparametric model calibration estimation in survey sampling. Journal of the American Statistical Association 100: 14291442. Reese, G.C., K.R. Wilson, J.A. Hoeting, and C.H. Flather (2005). Factors affecting the accuracy of predicted species distributions: A simulations experiment. Ecological Applications 15: 554564. Hall, P. and J.D. Opsomer (2005).
Theory for penalised spline regression. Biometrika 92: 105118. Kauermann, G. and J.D. Opsomer
(2004). Generalized crossvalidation for bandwidth selection of
backfitting estimators in generalized additive models. Journal of Computational and Graphical
Statistics 13:
6689. {Abstract webaccessible
here} Opsomer, J.D., F.J. Breidt, G.
Claeskens, G. Kauermann, and M.G. Ranalli (2004).
Nonparametric small area estimation using penalized spline regression. Proceedings of the Section on Survey
Research Methods [CDROM], Alexandria, VA. American
Statistical Association: 41274134.
Kahl,
J.S. Stoddard, J.L. Haeuber, R., Paulsen, S.G., Birnbaum, R.,
Deviney, F.A., DeWalle, D.R., Driscoll, C.T., Herlihy, A.T., Kellogg,
J.H., Peter, J.H., Murdoch, S., Roy, K., Sharpe, W., Urquhart,
N.S., Webb, J.R., and Webster, K.E. (2004). Response of surface water
chemistry to changes in acidic deposition: implications for the
upcoming debate on the federal Clean Air Act. Environmental Science and Technology
38: 484A490A.
Kincaid, T.K., Larsen, D.P.,
and Urquhart, N.S. (2004). The
structure of variation and its influence on the estimation of status:
Indicators of condition of lakes in Northeast, U.S.A. Environmental Monitoring and
Assessment 98: 121. Courbois, J. P. and N. S.
Urquhart (2004). Comparison of survey estimates of finite population
variance. Journal of
the Agricultural, Biological and Environmental Statistics 9:
236251. {Abstract webaccessible
here} da Silva, D.N. and J.D. Opsomer
(2004). Properties of the weighting cell estimator under a
nonparametric response mechanism. Survey Methodology 30: 4555. Waite, I.R., Herlihy, A.T.,
Larsen, D.P., Urquhart, N.S. and Klemm, D.J. (2004) The effects
of macroinvertebrate taxonomic resolution in large landscape
bioassessments: an example from the MidAtlantic Highlands,
U.S.A. Freshwater Biology
49: 474–489. Larsen, D. P., Kaufmann, P.K.,
Kincaid, T.M. and Urquhart, N.S. Detecting
persistent change in the habitat of salmonbearing streams in
the Pacific Northwest. Canadian
Journal of Fisheries and Aquatic
Sciences 61: 283291. Urquhart, N.S. and J.C. Moore
(2004). Statistics
in EPA’s STAR program: Learning materials for surface water monitoring.
OPPTS Tribal News 4(3): 45 
46. (EPA 745N00001) Opsomer, J.D., C. Botts and, J.Y.
Kim (2003). Small area estimation in a watershed erosion
assessment survey. Journal of
Agricultural, Biological and Environmental Statistics 8:139152.
{Abstract webaccessible
here} Opsomer, J.D. and F.J. Breidt
(2003). Nonparametric estimation in complex surveys with
auxiliary information.
Proceedings of the 54th Session of the International Statistical
Institute. Johnson,
D.S. and Hoeting, J.A. (2003). Autoregressive
models for capturerecapture data: A Bayesian approach. Biometrics 59: 341  350. {Abstract
webaccessible} Davis, R.A., W.T.M. Dunsmuir, and S.B.
Streett (2003). Maximum likelihood estimation for an observation
driven model for Poisson counts. Biometrika
90: 770790. Hoeting,
J. (2002). Methodology for Bayesian model
averaging: An update. Proceedings Invited paper
presentation, International Biometric Conference,
Freiburg, Germany,
231240. Larsen,
D. P., T. K. Kincaid, S. E. Jacobs and N. S. Urquhart (2001). Designs
for evaluating local and regional scale trends. Bioscience 51: 10691078. Urquhart, N.S. (in review  2010). Detecting trend in longterm ecological studies. a book chapter. Follow this link to access the data and programs used in developing the example for this chapter. Theobald, D.M., J.B. Norman, and M.R. Sherburne (2006). FunConn v1: Functional connectivity tools for ArcGIS v9. Natural Resource Ecology Lab, Colorado State University. {Tools are webavailable through this link} Theobald and D.M Norman (2006). Spatiallybalanced Sampling (RRQRR). Natural Resource Ecology Lab, Colorado State University. {Tools are webavailable through this link} Theobald, D.M., J.B. Norman, E.E Peterson, and S.B. Ferraz (2005). FLoWS v1: Functional Linkage of Watersheds and Streams tools for ArcGIS v9. Natural Resource Ecology Lab, Colorado State University. {Tools are webavailable through this link} Merton, A.A., J.A. Hoeting, and R.A. Davis (2004). Model Selection for Geostatistical Models. Software to compute AIC and MDL for geostatistical models for R. {Tool is webavailable through this link} Theobald, D.M., J.B. Norman, E.
Peterson, S. Ferraz, A. Wade, and M.R. Sherburne (2006). Functional
Linkage of Water Basins and Streams (FLoWS) v1 User’s Guide: ArcGIS
Tools for Networkbased Analysis of Freshwater Ecosystems.
Natural Resource Ecology Lab, Colorado State University, Fort Collins,
CO. 43 pages. Theobald, D.M., J.B. Norman, and M.R. Sherburne (2006). FunConn v1 User’s Manual: ArcGIS tools for Functional Connectivity Modeling. Natural Resource Ecology Lab, Colorado State University. April 17, 2006. 47 pages. Johnson, D.S (2005). Bayesian inference for geostatistical regression models. Technical Report, Department of Statistics, Colorado State University, Fort Collins. 35pp. Araas, J.F. (2005). EMAP
West
Training Presentations. Masters Project
Report, Department of Statistics, Colorado State University, Fort
Collins. 14 pages of text; 162 pages of reduced size pdf. {Parts
are accessible separately: text
48K; pdf of PowerPoint 16.2M}
Smith, J.J (2005). Modeling and Predicting Median Substrate Size in Oregon and Washington Streams Utilizing Geographic Information Systems Data. Masters Project Report, Department of Statistics, Colorado State University, Fort Collins. 68pp
French, J. (2005) Exploring Spatial Correlation in
Rivers. Masters Project
Report, Department of Statistics, Colorado State University, Fort
Collins. 60pp Lowe, S., B.E. Thompson, R.
Hoenicke, J.E. Leatherbarrow, K. Taberski, R.W. Smith, and D.L.
Stevens, Jr. (2005). Redesign
Process of the San Francisco Estuary Regional Monitoring Program for
Trace Substances (RMP) Status and Trends Monitoring Component for Water
and Sediment. Contribution 109, San Francisco Estuary
Institute, 7770 Pardee Lane, Oakland, CA 94621. Scarzella, G. (2003) Learning Materials for Surface Water
Monitoring. (10.2M; text only
= 0.5M) Masters Project
Report, Department of Statistics, Colorado State University, Fort
Collins. 91pp Johnson,
D.S. (2003) Bayesian Analysis of StateSpace Models for Discrete
Composition, Ph.D. thesis, Department of Statistics, Colorado State
University (will be webavailable at a later date) EversonStewart,
S. (2003). Nonparametric
Survey Regression Estimation in TwoStage Spatial Sampling.
Masters Project
Report, Department of Statistics, Colorado State University, Fort
Collins. 49pp Johnson,
A.
A. (2003). Estimating Distribution Functions from
Survey Data Using Nonparametric Regression. Masters
Project Report, Department of Statistics, Colorado State University,
Fort Collins. 69pp Johnson, S.W. (2003).
Needs Assessment of
Tribal
Requirements for Instruction in the Use of StatisticallyBased Aquatic
Water
Quaility Monitoring Techniques. Water Quality
Technology,
Inc.,
Fort Collins, CO. 12pp Kellum, B. (2002). Analysis and Modeling of Acid Neutralizing Capacity in the MidAtlantic Highlands Area. Masters Project, Department of Statistics, Colorado State University, Fort Collins. 69pp Johnson, D.S. and Hoeting, J.A.
(2001). Autoregressive Models for
CaptureRecapture Data: A Bayesian Approach. Technical Report
200110, Department of Statistics, Colorado State University. Presentations
from the STATISTICAL
SURVEY DESIGN AND ANALYSIS FOR AQUATIC RESOURCES  Fourth Annual
Meeting. Oregon State University, September 7 9, 2005. Presentations
from Roles for
Statistics in 21^{st} Century Monitoring and Assessment Systems
at the
Monitoring Science and Technology Symposium, Denver, CO September 21 
24, 2004. Presentations
from the STATISTICAL
SURVEY DESIGN AND ANALYSIS FOR AQUATIC RESOURCES  Third Annual
Meeting. Colorado State University, September 10  11, 2004 Printer friendly copy of abstracts
(pdf)  available as
provided. Abstracts contain
links to the
presentation materials, as available. Presentations
from the STATISTICAL
SURVEY DESIGN AND ANALYSIS FOR AQUATIC RESOURCES  Second Annual
Meeting. Oregon State University, August 1112, 2003 Presentations from the STATISTICAL SURVEY DESIGN AND ANALYSIS FOR AQUATIC RESOURCES  First Annual Meeting. Colorado State University, September 20  21, 2002 Printer friendly copy of abstracts (pdf)  available as provided. Abstracts contain links to the presentation materials, as available.
Ritter,
K.J. MultiLag Cluster Enhancement of Fixed Grids for Variogram
Estimation in NearCoastal Systems, California and the World Ocean
Conference 2006, as part of the Seafloor mapping session
(September
1720, 2006). {Conference
link} Coar, W.J. and F.J. Breidt. Smoothing through StateSpace Models for Stream Networks. Joint Statistical Meetings, Seattle, WA, August 610, 2006 and Spring Meeting, Colorado/Wyoming Chapter of the American Statistical Association, Boulder, CO, April 21, 2006 Opsmer,
J.D, F.J. Breidt, G. Moisen and G. Kauermann. ModelAssisted
Estimation of Forest Resources with Generalized Additive Models.
(Invited) JASA, Applications and Case Studies. Joint Statistical
Meetings, Seattle, WA, August 610, 2006 Hoeting,
J.A. Model Selection and Estimation for Geostatistical Models.
(Invited) Joint Statistical Meetings, Seattle, WA, August 610, 2006 Higgs,
M.D., J.A. Hoeting, and B. Bledsoe. Bayesian modeling for
ordinal substrate size using EPA stream data. Joint Statistical
Meetings, Seattle, WA, August 610, 2006. Park,
M.S. and M. Fuentes. A new class of asymmetric spatiotemporal
covariance models. Joint Statistical Meetings, Seattle, WA,
August 610, 2006 Irvine,
K.M., A.I. Gitelman, and J.A. Hoeting. Spatial designs and
strength of spatial signal: effects on covariance
estimation. Joint Statistical Meetings, Seattle, WA, August 610,
2006 Alix
Gitelman will moderate a roundtable on Statistical Consulting at the
Joint Statistical Meetings, Seattle, WA, August 610, 2006. This
discussion will include her experience obtained as a participant in
STARMAP. Jennifer
Hoeting, a STARMAP Principal Investigator, and Geof Givens
presented a short course entitled Statistical Computing: Techniques for
Integration and Optimization two different places: Don
Stevens and Tony Olsen will present the short course Spatial Sampling
at the Joint Statistical Meetings, Seattle, WA, August, 610, 2006. Stevens,
Jr. D.L., D.P. Larsen, and A.R. Olsen. Using a Master Sample to
Coordinate Monitoring of Multiple Species (Invited). The
International Environmetrics Society, June 1822, 2006, Kalmar, Sweden. Hoeting,
J.A. presented two talks, Introduction to Bayesian Data Analysis
Methods, and An Introduction to WinBUGS, to the PRIMES Workshop on
Bayesian Methods in Wildlife Population Monitoring, Colorado State
University, Fort Collins, CO, June 1416, 2006.
Peterson, E.E., A.A. Merton, D.M. Theobald, and N.S. Urquhart. Patterns of Spatial Autocorrelation in Stream Water Chemistry. North American Benthological Society, Anchorage, Alaska, June 49, 2006 Coar,
W.J. and F.J. Breidt. StateSpace Models for WithinStream
Network Dependence. North American Benthological Society,
Anchorage, Alaska, June 49, 2006 Theobald,
DM. and J.B. Norman. FLoWS Tools. Workshop on Predicting Salmon
Habitat by the Alaska Department of Fish & Game, May 1719, 2006,
Anchorage, AK. Breidt, F.J. Uncertainty Analysis for a US Inventory of Soil Organic Carbon Stock Changes. Workshop on Uncertainty in Ecological Analysis, Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, April 3, 2006 Hoeting, J.A. Invited discussant in the session on Modeling in the Presence of Uncertainty, Workshop on Uncertainty in Ecological Analysis, Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, April 36, 2006. She also served as group leader for a group project where workshop participants analyzed ecological data at the meeting. Breidt,
F.J. Spatial Lasso with Application to
GIS Model Selection.
Invited  ENAR Spring Meeting, Tampa, FL, March 28, 2006. Stevens, D.L., Jr. Probabilistic Sampling: Can Lessons from Coastal River Systems Be Applied to a Mainstem Species? Workshop in on Monitoring White Sturgeon in the Columbia Basin sponsored by the Columbia Basin Fish and Wildlife Authority, Spokane, WA, March 1415, 2006 Peterson, E.E., A.A. Merton, D.M. Theobald, and N.S. Urquhart. Patterns of Spatial Autocorrelation in Stream Water Chemistry. Center for Riverine Landscapes Seminar Series, Griffith University, Brisbane, Australia. March 4, 2006 Urquhart, N.S. Designing Surveys over Time (Panel Surveys): Variance, Power and Related Topics. National Park Service, Inventory and Monitoring Program, San Diego, February 10, 2006 Park, M.S. Symmetry and Separability in SpatialTemporal Processes. Seminar, Department of Statistics, Colorado State University, February 1, 2006 Ranalli, M.G. Lowrank Smoothing Splines on Domains with Unusual Shapes: Nonparametric Approximations for Estuaries and Nets of Rivers. Seminar, Department of Economics, Finance and Statistics, University of Perugia, Italy, January 13, 2006 Araas,
J.F. EMAP West Training
Presentations. Teleconference
Seminar, Department of Statistics, Colorado State University, December
15, 2005 Smith, J.J. Modeling and Predicting Median Substrate Size in Oregon and Washington Streams Utilizing Geographic Information Systems. Seminar, Department of Statistics, Colorado State University, December 6, 2005 Peterson, E.E., A.A. Merton, D.M. Theobald, and N.S. Urquhart. Predicting Water Quality Impaired Stream Segments Using LandscapeScale Data and a Regional Geostatistical Model. Statistical Society of Australia, St. Lucia, Queensland, Australia. October 18, 2005 Montanari,
G.E. and M.G. Ranalli. Nonparametric
Methods for Sample Surveys of Environmental Populations.
Invited talk, Annual Meeting of the Italian Statistical Society on
Statistics and the Environment, September 2123, 2005, Messina, Italy
Larsen,
D.P. and N.S. Urquhart. Designs
for Estimating Variability Structure and Implications for Detecting
Watershed Restoration Effectiveness. American
Fisheries Society, Anchorage, AK, September 1115, 2005. Urquhart,
N.S. Overview of the STARMAP Program. Fourth Annual
Conference on Statistical Survey Design and Analysis for Aquatic
Resources, Corvallis, OR, September 7  9, 2005. Peterson,
E.E A.A. Merton, N.S. Urquhart*, D.M. Theobald, and J.A.
Hoeting. Using the Maryland Biological Stream
Survey Data to Test Spatial Statistical Models. Second
Maryland Stream Conference, Carroll College, Westminster, MD, August 10
 13, 2005. Breidt, F.J. Extensions of Penalized Spline Regression for Natural Resource Monitoring Applications. Joint Statistical Meetings, Minneapolis, MN, August 7  11, 2005.
Ranalli,
M.G., F.J Breidt, and H. Wang. Lowrank
Smoothing Splines for Unusual Spatial Structures: Smoothing Estuaries
and Stream Networks. WNAR and IMS Statistics Meeting,
University of Alaska, Faribanks, AK, June 22, 2005 French, J. Exploring Spatial Correlation in Rivers. Spring Meeting, Colorado/Wyoming Chapter of the American Statistical Association, Boulder, CO, April 22, 2005; Seminar, Department of Statistics, Colorado State University, April 4, 2005 Opsomer,
J.D. Small Area Estimation Using
Penalized Spline Regression. Invited talk,
International Biometric Society, Eastern North American Region meeting,
Austin, TX, March 21, 2005. Urquhart, N.S. An Academician’s View of EPA’s Ecology Program, Especially its Environmental Monitoring and Assessment Program (EMAP). Ecological Research Subcommittee of U.S. EPA Board of Scientific Counselors, Research Triangle Park, NC, March 79, 2005. Ranalli,
M.G. and H. Wang. Lowrank
Smoothing Splines for Complex Domains and Manifold Recovery.
Seminar, University of Virginia, Charlottesville, VA. March 4, 2005. Ranalli,
M.G., F.J. Breidt, and H. Wang. Lowrank
Smoothing
Splines on Complex Domains. Seminar, Atlantic Ecology Division,
EPA, Narragansett, RI. March 1, 2005. Hoeting,
J.A and D. Johnson. Biological Monitoring: Bayesian
Models for a Multivariate Response. Invited talk, International
Workshop/Conference on Bayesian Statistics and its Applications,
Banaras Hindu University, Varanasi, India, January 5  8, 2005. Urquhart,
N.S. and A.R. Olsen. Anatomy of
Sampling Studies of Ecological Responses Through Time. Monitoring
Science and Technology Symposium. Denver, CO, September 21  24,
2004. Davis,
R.A and T. Mikosch. Extreme Value Theory for SpaceTime
Processes With HeavyTailed Distributions. International
Symposium on Extreme Value Analysis: Theory and Practice, Aveiro,
Portugal, July 17  24, 2004. Davis, R.A., J.A. Hoeting, A.A. Merton, and S. Thompson. Model Selection for Geostatistical Models. (Keynote address). International Biometric Conference, Cairns, Australia, July 11  16, 2004. Davis, R. A. and G. RodriguezYam. Structural Break Detection in Time Series. (Keynote address). International Workshop on Recent Advances in Time Series Analysis, Protaras, Cyprus, June 10, 2004. Davis, R. A. and G.
RodriguezYam. Parameter and ObservationDriven State
Space
Models. (Keynote address). International Workshop on Recent
Advances in
Time Series Analysis, Protaras, Cyprus, June 9, 2004. Urquhart, N.S. Uses of Power in Designing LongTerm Environmental Surveys. Seminar, Alterra Institute, Wageningen University, Wageningen, The Netherlands, June 6, 2004. Hoeting, J.A and
N.S.
Urquhart. Colorado
State University’s EPAFunded
Program on SpaceTime
Aquatic Resources Modeling
and Analysis Program (STARMAP). Environmental Research
Seminar,
EPA Region 8, Denver, CO May 12, 2004. Urquhart, N.S. A
Statistical Perspective on Linking Sections 305(b) and 303(d) of the
Clean Water Act. EMAP Symposium 2004, Newport RI, May 5, 2004. Breidt, F.J. Linking CWA
Sections 305(b) and 303(d): Small
Area Estimation. EMAP Symposium 2004, Newport RI, May 5, 2004. Urquhart, N.S. Statistical Aspects of Collections of Bees to Study Pesticides. Workshop sponsored by EPA's Office of Pollution Prevention and Toxics, Newport RI, May 3, 2004. Urquhart, N.S. Uses of
Power
in Designing LongTerm
Environmental Surveys. Seminar, San Diego Chapter of the
American Statistical Association, March 29, 1004. Ranalli, M. Giovanna (2004).
Nonparametric
Model Calibration Estimation in Survey Sampling.
Seminar, Department of Statistics, Iowa State University, Ames, IA,
February 18, 2004.
Urquhart, N. Scott (2002). Possible Lessons for CEERGOM from EMAP. AllHands Conference, Consortium for Estuarine Ecoindicators Research for the Gulf of Mexico, Ocean Springs, MS, March 3,2002. 


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