Skip to main content
U.S. flag

An official website of the United States government

Here’s how you know

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

HTTPS

Secure .gov websites use HTTPS
A lock (LockA locked padlock) or https:// means you have safely connected to the .gov website. Share sensitive information only on official, secure websites.

  • Environmental Topics
  • Laws & Regulations
  • Report a Violation
  • About EPA
Contact Us

Grantee Research Project Results

Publications submitted after final report Details for Grant Number R829095C002

Local Inferences from Aquatic Studies

RFA: Research Program on Statistical Survey Design and Analysis for Aquatic Resources (2001)

Other Views

  • All
    Publications
  • Selected
    Publication Types
  • Journal
    Articles
  • Publications Submitted
    After Final Report
  • Redisplay this page with
    Reference Title, Journal, and Author Columns
  • Display this Page
    in RIS Format
Dissertation/Thesis (1)
Journal Article (6)
Presentation (20)
Reference Type Citation Progress Report Year (Date Added to Report) Document Sources
Dissertation/Thesis Everson-Stewart S. Nonparametric survey regression estimation in two-stage spatial sampling. M.S. Thesis. Department of Statistics, Colorado State University, Fort Collins, CO, Spring 2003. R829095C002 (2003) (06/24/14)
not available
Journal Article Andrews B, Davis RA, Breidt FJ. Rank-based estimation for all-pass time series models. Annals of Statistics 2007;35(2):844-869. R829095 (2005) (01/07/09)
R829095 (Final) (01/07/09)
R829095C002 (2003) (06/24/14)
  • Full-text: Project Euclid-Full Text PDF
    Exit
  • Abstract: Project Euclid-Abstract
    Exit
  • Other: Cornell University-Full Text PDF
    Exit
Journal Article Breidt FJ, Claeskens G, Opsomer JD. Model-assisted estimation for complex surveys using penalised splines. Biometrika 2005;92(4):831-846. R829095C002 (2003) (06/24/14)
R829095C002 (2005) (09/09/11)
  • Abstract: Oxford Journals-Abstract
    Exit
  • Other: Ku Leuven-Prepublication PDF
    Exit
Journal Article Da Silva DN, Opsomer JD. Properties of the weighting cell estimator under a nonparametric response mechanism. Survey Methodology 2004;30(1):45-55. R829095 (2003) (12/14/09)
R829095 (2004) (12/15/09)
R829095C002 (2005) (12/15/09)
R829096 (2004) (12/14/09)
  • Full-text: Statistics Canada-Full Text PDF
    Exit
  • Abstract: Statistics Canada-Abstract
    Exit
Journal Article Francisco-Fernandez M, Jurado-Exposito M, Opsomer JD, Lopez-Granados F. A nonparametric analysis of the spatial distribution of Convolvulus arvensis in wheat-sunflower rotations. Environmetrics 2006;17(8):849-860. R829095 (2004) (12/15/09)
R829095C002 (2005) (09/09/11)
  • Full-text: Universidade da Coruna-Prepublication PDF
    Exit
  • Abstract: Wiley Interscience Abstract
    Exit
Journal Article Opsomer JD, Francisco-Fernandez M. Finding local departures from a parametric model using nonparametric regression. Statistical Papers 2010;51(1):69-84. R829095C002 (2005) (06/15/11)
  • Abstract: SpringerLink-Abstract
    Exit
Journal Article Wang H, Ranalli MG. Low-rank smoothing splines on complicated domains. Biometrics 2007;63(1):209-217. R829095 (2004) (12/15/09)
R829095C002 (2005) (09/09/11)
  • Abstract from PubMed
  • Abstract: Wiley Interscience-Abstract
    Exit
  • Other: BNU-PrepublicationFull Text PDF
    Exit
Presentation Breidt FJ. A semiparametric stochastic mixed model for increment-averaged data with application to carbon sequestration in agricultural soils. Presented at the 2004 International Biometric Society, Eastern North American Region, Spring Meeting, Pittsburgh, PA, March 29, 2004. R829095 (Final) (06/03/22)
R829095C002 (2004) (12/15/09)
not available
Presentation Breidt FJ. Semiparametric mixed models for increment-averaged data with application to carbon sequestration in agricultural soils. Presented at the Fifth Winemiller Symposium: New Developments of Statistical Analysis in Wildlife, Fisheries, and Ecological Research, Columbia, MO, October 16, 2004. R829095C002 (2005) (12/15/09)
not available
Presentation Breidt FJ. Semiparametric mixed models for increment-averaged data with application to carbon sequestration in agricultural soils. Presented at the Computational Environmetrics Conference, Chicago, IL, October 21-23, 2004. R829095C002 (2005) (01/20/10)
not available
Presentation Breidt FJ. Extensions of penalized spline regression for natural resource monitoring applications. Presented at the 2005 Joint Statistical Meetings, Minneapolis, MN, August 7-11, 2005. R829095C002 (2005) (12/15/09)
not available
Presentation Breidt FJ. Spatial LASSO with applications to GIS model selection. Presented at the 2005 Western North American Region of The International Biometric Society/Institute of Mathematical Statistics Meeting, Fairbanks, AK, June 21-24, 2005. R829095C002 (2005) (12/15/09)
not available
Presentation Francisco-Fernandez M, Jurado-Exposito M, Opsomer JD, Lopez-Granados F. A nonparametric analysis of the distribution of Convolvulus arvensis in wheat-sunflower rotations. Poster presented at the Computational Environmetrics Conference, Chicago, IL, October 21-23, 2004. R829095C002 (2005) (12/15/09)
not available
Presentation Miller CP, Opsomer JD. Bandwidth selection in local polynomial regression for complex survey data. Presented at the Joint Statistical Meetings, San Francisco, CA, August 3-7, 2003. R829095 (Final) (06/03/22)
R829095C002 (2004) (12/15/09)
not available
Presentation Opsomer JD. Two applications of nonparametric regression in survey estimation. Presented at the University of Western Australia, Perth, Australia, November 6, 2003. R829095C002 (2004) (12/15/09)
not available
Presentation Opsomer JD. Two applications of nonparametric regression in survey estimation. Presented at the University of New South Wales, Sydney, Australia, October 22, 2003. R829095C002 (2004) (12/15/09)
not available
Presentation Opsomer JD. Two applications of nonparametric regression in survey estimation. Presented to the Canberra Chapter of the Statistical Society of Australia, Canberra, Australia, October 28, 2003. R829095C002 (2004) (12/15/09)
not available
Presentation Opsomer JD. Two applications of nonparametric regression in survey estimation. Presented at the North Carolina State University, Raleigh, NC, April 9, 2004. R829095C002 (2004) (12/15/09)
not available
Presentation Opsomer JD. Penalized splines and small area estimation. Seminar presented at the Universidade da Coruña, A Coruña, Spain, July 23, 2004. R829095C002 (2004) (12/15/09)
not available
Presentation Opsomer JD. Theory and methods for nonparametric regression estimators. Seminar presented on Funding Opportunities in Survey and Statistical Research, Federal Committee on Statistical Methodology, Washington, DC, June 21, 2004. R829095C002 (2004) (12/15/09)
not available
Presentation Opsomer JD. Two applications of nonparametric regression in survey estimation. Presented at the University of Lund, Lund, Sweden, September 21, 2004. R829095C002 (2004) (12/15/09)
not available
Presentation Opsomer JD. Small area estimation using penalized spline regression. Presented at the International Biometric Society, Eastern North American Region Meeting, Austin, TX, March 21, 2005 (invited talk). R829095C002 (2005) (12/15/09)
not available
Presentation Ranalli G. Acid neutralizing capacity CDF estimation in the northeastern lakes survey:a nonparametric model calibrated pseudo empirical maximum likelihood approach. Presented at the Statistics for Aquatic Resources: Monitoring, Modeling and Management Conference, Corvallis, OR, September 7-9, 2005. R829095C002 (2005) (12/15/09)
not available
Presentation Ranalli MG. Nonparametric model calibration estimation in survey sampling. Seminar presented to the Department of Statistics, Iowa State University, Ames, IA, February 18, 2004. R829095 (Final) (06/03/22)
R829095C002 (2004) (12/15/09)
not available
Presentation Ranalli MG, Breidt J, Wang H. Low-rank smoothing splines on complex domains. Seminar presented to the Atlantic Ecology Division, U.S. Environmental Protection Agency, Narragansett, RI, March 1, 2005. R829095C002 (2005) (12/15/09)
not available
Presentation Ranalli MG, Wang H. Low-rank smoothing splines for complex domains and manifold recovery. Seminar presented at the University of Virginia, Charlottesville, VA, March 4, 2005. R829095C002 (2005) (12/15/09)
not available
Presentation Wang H, Ranalli G. Low-rank smoothing splines on complex domain:smoothing estuaries. Presented at the Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7-9, 2005. R829095 (Final) (06/03/22)
R829095C002 (2005) (12/15/09)
not available

Top of Page

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.

Site Navigation

  • Grantee Research Project Results Home
  • Grantee Research Project Results Basic Search
  • Grantee Research Project Results Advanced Search
  • Grantee Research Project Results Fielded Search
  • Publication search
  • EPA Regional Search

Related Information

  • Search Help
  • About our data collection
  • Research Grants
  • P3: Student Design Competition
  • Research Fellowships
  • Small Business Innovation Research (SBIR)
Contact Us to ask a question, provide feedback, or report a problem.
Last updated April 28, 2023
United States Environmental Protection Agency

Discover.

  • Accessibility
  • Budget & Performance
  • Contracting
  • EPA www Web Snapshot
  • Grants
  • No FEAR Act Data
  • Plain Writing
  • Privacy
  • Privacy and Security Notice

Connect.

  • Data.gov
  • Inspector General
  • Jobs
  • Newsroom
  • Open Government
  • Regulations.gov
  • Subscribe
  • USA.gov
  • White House

Ask.

  • Contact EPA
  • EPA Disclaimers
  • Hotlines
  • FOIA Requests
  • Frequent Questions

Follow.