Grantee Research Project Results
Selected Publications Details for Grant Number R829095C001
Combining Environmental Data Sets
RFA:
Research Program on Statistical Survey Design and Analysis for Aquatic Resources (2001)
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| 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) R829095C001 (2004) R829095C001 (2005) |
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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) |
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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) R829095 (2005) R829095 (Final) R829095C001 (2005) |
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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) R829095C001 (2005) |
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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) R829095 (2005) R829095 (Final) R829095C001 (2005) |
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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) R829095C001 (2004) R829095C001 (2005) R829095C004 (2005) |
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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) R829095 (2005) R829095 (Final) R829095C001 (2005) |
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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) R829095 (2005) R829095 (Final) R829095C001 (2003) |
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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) |
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| 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) R829095C001 (2005) |
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The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.