Publications Details for:

Combining Environmental Data Sets
Grant Number R829095C001
RFA: Research Program on Statistical Survey Design and Analysis for Aquatic Resources (2001)
Book (1)
Book Chapter (1)
Dissertation/Thesis (2)
Journal Article (8)
Paper (2)
Presentation (64)
Reference Type Reference Title Journal Author Citation Progress Report Year Document Sources
Book Computational Statistics. None Givens GH, Hoeting JA Givens GH, Hoeting JA. Computational Statistics. Hoboken, NJ: John Wiley & Sons, 2005, 448 pp. R829095 (2005)
R829095 (Final)
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Book Chapter Biological monitoring: a Bayesian model for multivariate compositional data. None Johnson DS, Hoeting JA, Poff NL Johnson DS, Hoeting JA, Poff NL. Biological monitoring: a Bayesian model for multivariate compositional data. In: Upadhyay SK, Singh U, Dey DK, eds. Bayesian Statistics and Its Applications. New Dehli, India: Anamaya Publishers, 2007, Chapter 19, pp. 270-289. R829095 (Final)
R829095C001 (2005)
Dissertation/Thesis Bayesian analysis of state-space models for discrete composition None Johnson DS

Johnson DS. Bayesian analysis of state-space models for discrete composition, Ph.D. Thesis, Department of Statistics, Colorado State University, Fort Collins, CO, 2003.

R829095 (Final)
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Dissertation/Thesis Analysis and modeling of acid neutralizing capacity in the mid-atlantic highlands area. None Kellum B

Kellum B. Analysis and modeling of acid neutralizing capacity in the mid-atlantic highlands area. M.S. Thesis, Department of Statistics, Colorado State University, Fort Collins, CO, 2002.

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Journal Article Habitat selection models to account for seasonal persistence in radio telemetry data. ENVIRONMENTAL AND ECOLOGICAL STATISTICS Dailey M, Gitelman AI, Ramsey FL, Starcevich S Dailey M, Gitelman AI, Ramsey FL, Starcevich S. Habitat selection models to account for seasonal persistence in radio telemetry data. Environmental and Ecological Statistics 2007;14(1):55-68. R829095 (2004)
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Journal Article Estimation for state-space models based on a likelihood approximation. STATISTICA SINICA Davis RA, Rodriguez-Yam G Davis RA, Rodriguez-Yam G. Estimation for state-space models based on a likelihood approximation. Statistica Sinica 2005;15(2):381-406. R829095 (Final)
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Journal Article Isomorphic chain graphs for modeling spatial dependence in ecological data. ENVIRONMENTAL AND ECOLOGICAL STATISTICS Gitelman A, Herlihy A Gitelman AI, Herlihy A. Isomorphic chain graphs for modeling spatial dependence in ecological data. Environmental and Ecological Statistics 2007;14(1):27-40. R829095 (2004)
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Journal Article Model selection for geostatistical models. ECOLOGICAL APPLICATIONS Hoeting JA, Davis RA, Merton AA, Thompson SE Hoeting JA, Davis RA, Merton AA, Thompson SE. Model selection for geostatistical models. Ecological Applications 2006;16(1):87-98. R829095 (Final)
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Journal Article Some perspectives on modeling species distributions. BAYESIAN ANALYSIS Hoeting JA Hoeting JA. Some perspectives on modeling species distributions. Bayesian Analysis 2006;1(1):93-98. (Comment on article by Gelfand et al.). R829095 (2004)
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Journal Article Autoregressive models for capture-recapture data: a Bayesian approach. BIOMETRICS Johnson DS, Hoeting JA Johnson DS, Hoeting JA. Autoregressive models for capture-recapture data:a Bayesian approach. Biometrics 2003;59(2):341-350. R829095 (2004)
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Journal Article Bayesian multimodel inference for geostatistical regression models. PLOS ONE Johnson DS, Hoeting JA Johnson DS, Hoeting JA. Bayesian multimodel inference for geostatistical regression models. PLoS ONE 2011;6(11):e25677. R829095C001 (2005)
Journal Article Factors affecting species distribution predictions: A simulation modeling experiment. ECOLOGICAL APPLICATIONS Reese GC, Wilson KR, Hoeting JA, Flather CH Reese GC, Wilson KR, Hoeting JA, Flather CH. Factors affecting species distribution predictions: a simulation modeling experiment. Ecological Applications 2005;15(2):554-564. R829095 (Final)
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Paper Fitting graphical models: Some computational considerations. None Jensen S, Gitelman AI Jensen S, Gitelman AI. Fitting graphical models:Some computational considerations. Working Paper, 2004. R829095C001 (2003)
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Paper Random effects graphical models for multiple site sampling THE ANNALS OF STATISTICS Johnson DS, Hoeting JA Johnson DS, Hoeting JA. Random effects graphical models for multiple site sampling. Paper, December 23, 2003. R829095 (Final)
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Presentation Hierarchical Bayesian models for seasonal radio telemetry habitat data. None Dailey MC Dailey MC. Hierarchical Bayesian models for seasonal radio telemetry habitat data. Presented at the Joint Statistical Meetings, Toronto, Ontario, August 8-12, 2004. R829095C001 (2004)
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Presentation Hierarchical Bayesian models for seasonal radio telemetry habitat data. None Dailey MC, Gitelman AI Dailey MC, Gitelman AI. Hierarchical Bayesian models for seasonal radio telemetry habitat data. Poster presented at the Graybill Conference, Fort Collins, CO, June 16-18, 2004. R829095C001 (2004)
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Presentation Hierarchical Bayesian models for seasonal radio telemetry habitat data. None Dailey MC, Gitelman AI Dailey MC, Gitelman AI. Hierarchical Bayesian models for seasonal radio telemetry habitat data. Poster presented at the International Environmetrics Conference, Portland, ME, June 28- July 1, 2004. R829095C001 (2004)
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Presentation Hierarchical bayesian models for seasonal radio telemetry habitat data. None Dailey MC, Gitelman AI Dailey MC, Gitelman AI. Hierarchical bayesian models for seasonal radio telemetry habitat data. Presented at the Third Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Fort Collins, CO, September 10-11, 2004. R829095C001 (2004)
Presentation Habitat selection models to account for seasonal persistence in radio telemetry data. None Dailey MC

Dailey MC. Habitat selection models to account for seasonal persistence in radio telemetry data. Presented at the 2005 Western North America Region of the International Biometrics Society and Institute of Mathematical Statistics Meeting, Fairbanks, AK, June 21-24, 2005.

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Presentation Estimation for parameter-driven state-space models. None Davis RA Davis RA. Estimation for parameter-driven state-space models. Presented at the International Conference on Statistics, Combinatorics, and Related Areas, Portland, ME, October 2-5, 2003. R829095C001 (2004)
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Presentation Extreme value theory for space-time processes with heavy-tailed distributions. None Davis RA, Mikosch T Davis RA, Mikosch T. Extreme value theory for space-time processes with heavy-tailed distributions. Presented at the International Symposium on Extreme Value Analysis: Theory and Practice, Aveiro, Portugal, July 17-24, 2004. R829095 (Final)
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Presentation Structural break detection in time series. None Davis RA, Rodriguez-Yam G Davis RA, Rodriguez-Yam G. Structural break detection in time series. Presented at the International Workshop on Recent Advances in Time Series Analysis, Protaras, Cyprus, June 10, 2004 (keynote address). R829095C001 (2004)
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Presentation Estimation for generalized state-space models. None Davis RA Davis RA. Estimation for generalized state-space models. Presented at the International Workshop in Applied Probability, Piraeus, Greece, March 22-25, 2004. R829095C001 (2004)
Presentation Model selection for geostatistical models. None Davis RA, Hoeting JA, Merton AA, Thompson SE Davis RA, Hoeting JA, Merton AA, Thompson SE. Model selection for geostatistical models. Presented at the International Biometric Conference, Cairns, Australia, July 11-16, 2004 (keynote address). R829095 (Final)
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Presentation Thoughts on model selection. None Davis RA Davis RA. Thoughts on model selection. Presented at the Inaugural Alaska Consortium for Environmental Statistics (ACES), University of Alaska, Fairbanks, AK, March 25, 2005. R829095C001 (2005)
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Presentation Structural break detection in time series models. None Davis RA

Davis RA. Structural break detection in time series models. Presented at the 13th Institute for Operations Research and the Management Science Applied Probability Conference, Ottawa, Canada, July 6-8, 2005.

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Presentation Structural break detection in time series signals. None Davis RA

Davis RA. Structural break detection in time series signals. Presented at the Institute of Electrical and Electronics Engineers Conference on Signal Processing, Bordeaux, France, July 17-20, 2005.

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Presentation Structural break detection in time series. None Davis RA, Lee TCM, Rodriguez-Yam G

Davis RA, Lee TCM, Rodriguez-Yam G. Structural break detection in time series. Presented at the Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7-9, 2005.

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Presentation Parameter and observation-driven state space models. None Davis R A, Rodriguez-Yam G Davis R A, Rodriguez-Yam G. Parameter and observation-driven state space models. Presented at the International Workshop on Recent Advances in Time Series Analysis, Protaras, Cyprus, June 9, 2004 (keynote address). R829095C001 (2004)
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Presentation Exploring spatial correlation in rivers None French J

French J. Exploring spatial correlation in rivers. Presented at the Spring Meeting of the Colorado/Wyoming Chapter of the American Statistical Association, Boulder, CO, April 22, 2005.

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Presentation Exploring spatial correlation in rivers. None French J

French J. Exploring spatial correlation in rivers. Masters project report presented to the Department of Statistics, Colorado State University, Fort Collins, CO, 2005.

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Presentation Exploring spatial correlation in rivers. None French J

French J. Exploring spatial correlation in rivers. Seminar presented to the Department of Statistics, Colorado State University, Fort Collins, CO, April 4, 2005.

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Presentation Review of geostatistics in aquatic systems. None French J, Urquhart NS

French J, Urquhart NS. Review of geostatistics in aquatic systems. Poster presented at the Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7-9, 2005.

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Presentation Multi-scale analysis: options for modeling presence/absence of bird species. None Georgitis KM, Gitelman Al, Danz NP Georgitis KM, Gitelman Al, Danz NP. Multi-scale analysis: options for modeling presence/absence of bird species. Presented at the Third Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Fort Collins, CO, September 10-11, 2004. R829095C001 (2004)
Presentation Multi-scale analysis: options for modeling bird presence/absence in relation to habitat characteristics at different spatial extents. ECOLOGICAL AND ENVIRONMENTAL STATISTICS Georgitis KM, Gitelman AI, Danz NP Georgitis KM, Gitelman AI, Danz NP. Multi-scale analysis:options for modeling bird presence/absence in relation to habitat characteristics at different spatial extents. Presented in 2004. R829095C001 (2004)
Presentation Estimation and model selection for geostatistical models. None Georgitis KM

Georgitis KM. Estimation and model selection for geostatistical models. Presented at the 2005 Western North America Region of the International Biometrics Society and Institute of Mathematical Statistics Meeting, Fairbanks, AK, June 21-24, 2005.

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Presentation What is a multi-scale analysis? Implications for modeling presence/absence of bird species. None Georgitis K, Gitelman A, Stevens Jr. D, Danz N, Hanowski J Georgitis K, Gitelman A, Stevens Jr. D, Danz N, Hanowski J. What is a multi-scale analysis? Implications for modeling presence/absence of bird species. Poster presented at the Third Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Fort Collins, CO, September 10-11, 2004. R829095C001 (2004)
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Presentation Chain graphs for spatial dependence in ecological data. None Gitelman AI Gitelman AI. Chain graphs for spatial dependence in ecological data. Presented at the Graybill Conference, Fort Collins, CO, June 17-18, 2004. R829095C001 (2004)
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Presentation Chain graphs for spatial dependence in ecological data. None Gitelman AI Gitelman AI. Chain graphs for spatial dependence in ecological data. Presented at the Third Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Fort Collins, CO, September 10-11, 2004. R829095C001 (2004)
Presentation Bayesian network models to account for correlation across scales. None Gitelman AI Gitelman AI. Bayesian network models to account for correlation across scales. Presented at the 90th Ecological Society of America/IX International Congress of Ecology Annual Meeting, Montreal, Quebec, Canada, August 8, 2005. R829095C001 (2005)
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Presentation Connecting correlated GIS predictors in a Bayes network model. None Gitelman AI

Gitelman AI. Connecting correlated GIS predictors in a Bayes network model. Presented at the 2005 Western North America Region of the International Biometrics Society and Institute of Mathematical Statistics Meeting, Fairbanks, AK, June 21-24, 2005.

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Presentation Connecting correlated predictors using graphical models. None Gitelman AI, Georgitis KM

Gitelman AI, Georgitis KM. Connecting correlated predictors using graphical models. Presented at the Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7-9, 2005.

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Presentation Accounting for spatial dependence in Bayesian belief networks. None Gitelman A Gitelman A. Accounting for spatial dependence in Bayesian belief networks. Presented at the Joint Statistical Meetings, San Francisco, CA, August 3-7, 2003. R829095 (Final)
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Presentation Spatial dependence in causal models for aquatic data. None Gitelman A

Gitelman A. Spatial dependence in causal models for aquatic data. Presented at the Second Annual Conference: Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, August 11-13, 2003.

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Presentation Model selection for geostatistical models. None Hoeting JA, Davis RA, Merton AA, Thompson SE Hoeting JA, Davis RA, Merton AA, Thompson SE. Model selection for geostatistical models. Presented at the Statistics in Ecology Workshop, Jackson Hole, WY, December 4, 2003. R829095C001 (2004)
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Presentation Model selection for geostatistical models. None Hoeting JA Hoeting JA. Model selection for geostatistical models. Seminar presented to the Department of Statistics, Oregon State University, Corvallis, OR, April, 2005. R829095C001 (2005)
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Presentation Computational statistics: methods for optimization and Monte Carlo integration. None Hoeting JA, Givens GH Hoeting JA, Givens GH. Computational statistics: methods for optimization and Monte Carlo integration. Continuing education course. Presented at the 2005 Joint Statistical Meetings, Minneapolis, MN, August 7-11, 2005. R829095C001 (2005)
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Presentation A statistical model for a multivariate compositional response. None Hoeting JA Hoeting JA. A statistical model for a multivariate compositional response. Seminar presented to the Department of Mathematics, Colorado State University, Fort Collins, CO, March 29, 2005. R829095C001 (2005)
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Presentation Bayesian models for a multivariate discrete response. None Hoeting JA, Johnson DS

Hoeting JA, Johnson DS. Bayesian models for a multivariate discrete response. Presented at the 2005 Joint Statistical Meetings, Minneapolis, MN, August 7-11, 2005.

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Presentation Biological monitoring: Bayesian models for a multivariate response. None Hoeting JA, Johnson D Hoeting JA, Johnson D. Biological monitoring: Bayesian models for a multivariate response. Presented at the International Workshop/Conference on Bayesian Statistics and its Applications, Banaras Hindu University, Varanasi, India, January 5-8, 2005 (invited talk). R829095C001 (2005)
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Presentation Geostatistical modeling: model selection and parameter estimation. None Hoeting JA

Hoeting JA. Geostatistical modeling: model selection and parameter estimation. Presented at the Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7-9, 2005.

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Presentation Statistical models for stream ecology data. None Hoeting JA

Hoeting JA. Statistical models for stream ecology data. Presented at the Department of Statistics Seminar, University of Otago, Dunedin, New Zealand, March 20, 2003.

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Presentation Methods of integration for environmental problems in statistics: quadrature, Monte Carlo integration and Markov chain Monte Carlo methods. None Hoeting J, Givens G Hoeting J, Givens G. Methods of integration for environmental problems in statistics: quadrature, Monte Carlo integration and Markov chain Monte Carlo methods. Presented at the Computational Environmetrics Workshop, Chicago, IL, October 21, 2004. R829095C001 (2005)
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Presentation Optimization methods for environmental problems in statistics: numerical maximum likelihood, combinatorial optimization, EM algorithm. None Hoeting J, Givens G Hoeting J, Givens G. Optimization methods for environmental problems in statistics: numerical maximum likelihood, combinatorial optimization, EM algorithm. Presented at the Computational Environmetrics Workshop, Chicago, IL, October 21, 2004. R829095C001 (2005)
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Presentation Case studies in Bayesian statistics, Workshop 7, discussion of Alan Gelfand’s “Modeling Species Diversity Through Species Level Hierarchical Modeling,” None Hoeting J

Hoeting J. Case studies in Bayesian statistics, Workshop 7, discussion of Alan Gelfand’s “Modeling Species Diversity Through Species Level Hierarchical Modeling,” Presented at Carnegie Mellon University, Pittsburgh, PA, September 12, 2003.

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Presentation Brief introduction to reversible jump MCMC for Bayesian networks and an application. None Jensen SA Jensen SA. Brief introduction to reversible jump MCMC for Bayesian networks and an application. Presented at the Third Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Fort Collins, CO, September 10-11, 2004. R829095C001 (2004)
Presentation Bayesian belief networks: computational considerations for the environmental researcher. None Jensen S

Jensen S. Bayesian belief networks: computational considerations for the environmental researcher. Poster presented at the Second Annual Conference: Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, August 11-13, 2003.

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Presentation State-space models for biological monitoring data. None Johnson DS Johnson DS. State-space models for biological monitoring data. Presented at the Joint Statistical Meetings, Toronto, Ontario, August 8-12, 2004. R829095C001 (2004)
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Presentation Bayesian model determination for geostatistical regression models. None Johnson DS Johnson DS. Bayesian model determination for geostatistical regression models. Presented at the Computational Environmetrics Conference, Chicago, IL, October 21-23, 2004. R829095C001 (2005)
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Presentation State-space models for biological monitoring data. None Johnson DS, Hoeting JA Johnson DS, Hoeting JA. State-space models for biological monitoring data. Presented at the Third Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Fort Collins, CO, September 10-11, 2004. R829095C001 (2004)
Presentation Bayesian model selection for geostatistical regression data. None Johnson DS Johnson DS. Bayesian model selection for geostatistical regression data. Presented to the Department of Statistics, University of Connecticut, Storrs, CT, February 16, 2005. R829095C001 (2005)
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Presentation Bayesian model selection for geostatistical regression data. None Johnson DS Johnson DS. Bayesian model selection for geostatistical regression data. Presented to the Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, February 23, 2005. R829095C001 (2005)
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Presentation Bayesian model selection for geostatistical regression data. None Johnson DS Johnson DS. Bayesian model selection for geostatistical regression data. Presented to the School of Statistics, University of Minnesota, Minneapolis, MN, January 31, 2005. R829095C001 (2005)
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Presentation Bayesian model determination for spatial regression data. None Johnson DS

Johnson DS. Bayesian model determination for spatial regression data. Presented at the 2005 Western North America Region of the International Biometrics Society and Institute of Mathematical Statistics Meeting, Fairbanks, AK, June 21-24, 2005.

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Presentation Bayesian model selection for geostatistical regression data. None Johnson DS

Johnson DS. Bayesian model selection for geostatistical regression data. Presented at the 2005 Joint Statistical Meetings, Minneapolis, MN, August 7-11, 2005.

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Presentation Models for the analysis of discrete compositional data: an application of random effects graphical models. None Johnson D

Johnson D. Models for the analysis of discrete compositional data: an application of random effects graphical models. Presented at the Department of Statistics Seminar, University of Iowa, Iowa City, IA, February 13, 2003.

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Presentation Models for the analysis of discrete compositional data: an application of random effects graphical models. None Johnson D

Johnson D. Models for the analysis of discrete compositional data: an application of random effects graphical models. Presented at the Department of Mathematical Sciences Seminar, University of Alaska–Fairbanks, Fairbanks, AK, March 24, 2003.

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Presentation Random effects graphical models and the analysis of compositional data. None Johnson D, Hoeting JA

Johnson D, Hoeting JA. Random effects graphical models and the analysis of compositional data. Presented at the Joint Statistical Meetings, San Francisco, CA, August 3-7, 2003.

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Presentation Statistical models for stream ecology data: random effects graphical models. None Johnson D, Hoeting JA

Johnson D, Hoeting JA. Statistical models for stream ecology data: random effects graphical models. Presented at the Second Annual Conference: Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, August 11-13, 2003.

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Presentation Analysis and modeling of acid neutralizing capacity in the mid-atlantic highlands area. None Kellum BR, Hoeting JA, Urquhart NS

Kellum BR, Hoeting JA, Urquhart NS. Analysis and modeling of acid neutralizing capacity in the mid-atlantic highlands area. Poster presented at the Second Annual Conference: Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, August 11 - 13, 2003.

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Presentation Optimal spatial sampling. None Leecaster M, Hoeting JA, Ritter KJ

Leecaster M, Hoeting JA, Ritter KJ. Optimal spatial sampling. Presented at the Second Annual Conference: Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, August 11-13, 2003.

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Presentation Model selection for geostatistical models. None Merton AA Merton AA. Model selection for geostatistical models. Presented at the Joint Statistical Meetings, Toronto, Ontario, August 8-12, 2004. R829095C001 (2004)
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Presentation Model selection for geostatistical models. None Merton AA, Hoeting JA, Davis RA Merton AA, Hoeting JA, Davis RA. Model selection for geostatistical models. Presented at the Third Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Fort Collins, CO, September 10-11, 2004. R829095C001 (2004)
Presentation Model selection for geostatistical models. None Merton AA, Hoeting JA, Davis RA Merton AA, Hoeting JA, Davis RA. Model selection for geostatistical models. Presented at the Monitoring Science and Technology Symposium, Denver, CO, September 21-24, 2004. R829095C001 (2004)
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Presentation the Maryland biological stream survey data to test spatial statistical models: a collaborative approach to analyzing stream network data. None Merton AA, Peterson EE

Merton AA, Peterson EE. Using the Maryland biological stream survey data to test spatial statistical models: a collaborative approach to analyzing stream network data. Presented at the Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7-9, 2005.

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Presentation Two-phase sampling approach for augmenting fixed grid designs to improve local estimation for mapping aquatic resources. None Ritter KJ, Leecaster MK, Urquhart NS Ritter KJ, Leecaster MK, Urquhart NS. Two-phase sampling approach for augmenting fixed grid designs to improve local estimation for mapping aquatic resources. Presented at the Graybill Conference, Fort Collins, CO, June 17-18, 2004. R829095C001 (2004)
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Presentation Multi-lag cluster enhancement of fixed grids for variogram estimation for near coastal systems. None Ritter KJ, Leecaster MK, Urquhart NS, Schiff KC, Olsen D, Stebbins T Ritter KJ, Leecaster MK, Urquhart NS, Schiff KC, Olsen D, Stebbins T. Multi-lag cluster enhancement of fixed grids for variogram estimation for near coastal systems. Presented at the Third Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Fort Collins, CO, September 10-11, 2004. R829095C001 (2004)
Presentation Some new spatial statistical models for stream networks. None Ver Hoef JM, Poston EE Ver Hoef JM, Poston EE. Some new spatial statistical models for stream networks. Presented at the Graybill Conference, Fort Collins, CO, June 17-18, 2004. R829095C001 (2004)
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