IDEAS home Printed from https://ideas.repec.org/p/isu/genres/1036.html
   My bibliography  Save this paper

A Semiparametric Approach to Estimating Usual Intake Distributions

Author

Listed:
  • Carriquiry, Alicia L.
  • Fuller, Wayne A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Carriquiry, Alicia L. & Fuller, Wayne A., 1996. "A Semiparametric Approach to Estimating Usual Intake Distributions," Staff General Research Papers Archive 1036, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:1036
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:mpr:mprres:1917 is not listed on IDEAS
    2. Hilko Van Der Voet & Wout Slob, 2007. "Integration of Probabilistic Exposure Assessment and Probabilistic Hazard Characterization," Risk Analysis, John Wiley & Sons, vol. 27(2), pages 351-371, April.
    3. Woodcock, Simon D. & Benedetto, Gary, 2009. "Distribution-preserving statistical disclosure limitation," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4228-4242, October.
    4. Helen L. Jacobs & Henry D. Kahn & Kathleen A. Stralka & Dung B. Phan, 1998. "Estimates of per Capita Fish Consumption in the U.S. Based on the Continuing Survey of Food Intake by Individuals (CSFII)," Risk Analysis, John Wiley & Sons, vol. 18(3), pages 283-291, June.
    5. Nicholas Beyler & Susanne James-Burdumy & Martha Bleeker & Jane Fortson & Max Benjamin, "undated". "Measurement Error Properties in an Accelerometer Sample of U.S. Elementary School Children," Mathematica Policy Research Reports 6c99580fa94443459f3cbd005, Mathematica Policy Research.
    6. Grace Y. Yi & Yanyuan Ma & Donna Spiegelman & Raymond J. Carroll, 2015. "Functional and Structural Methods With Mixed Measurement Error and Misclassification in Covariates," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(510), pages 681-696, June.
    7. Staudenmayer, John & Ruppert, David & Buonaccorsi, John P., 2008. "Density Estimation in the Presence of Heteroscedastic Measurement Error," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 726-736, June.
    8. Anne Gordon & Mary Kay Fox & Melissa Clark & Renée Nogales & Elizabeth Condon & Philip Gleason & Ankur Sarin, 2007. "School Nutrition Dietary Assessment Study III, Volume II: Student Participation and Dietary Intakes," Mathematica Policy Research Reports 5184c5f5137c460992242c5f7, Mathematica Policy Research.
    9. Barbara L. Devaney & Elizabeth A. Stuart, 1998. "Eating Breakfast: Effects of the School Breakfast Program," Mathematica Policy Research Reports d6ccf0f21e6b4d8a8e9cfa650, Mathematica Policy Research.
    10. Elizabeth Condon & Susan Drilea & Carolyn Lichtenstein & James Mabli & Emily Madden & Katherine Niland, "undated". "Diet Quality of American School Children by National School Lunch Program Participation Status: Data from the National Health and Nutrition Examination Survey, 2005-2010," Mathematica Policy Research Reports 36c1ee6e851445d5957fb99ac, Mathematica Policy Research.
    11. Wang, Xiao-Feng & Fan, Zhaozhi & Wang, Bin, 2010. "Estimating smooth distribution function in the presence of heteroscedastic measurement errors," Computational Statistics & Data Analysis, Elsevier, vol. 54(1), pages 25-36, January.
    12. Barbara Devaney & Myoung Kim & Alicia Carriquiry & Gabriel Camano-Garcia, 2005. "Assessing the Nutrient Intakes of Vulnerable Subgroups," Mathematica Policy Research Reports 7bec830f54a04b0491011e3ba, Mathematica Policy Research.
    13. Carroll, Raymond J. & Ruppert, David & Welsh, A. H., 1997. "Nonparametric estimation via local estimating equations, with applications to nutrition calibration," SFB 373 Discussion Papers 1997,17, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    14. repec:mpr:mprres:7903 is not listed on IDEAS
    15. repec:mpr:mprres:4777 is not listed on IDEAS
    16. repec:mpr:mprres:5595 is not listed on IDEAS
    17. Marc Kennedy & Andy Hart, 2009. "Bayesian Modeling of Measurement Errors and Pesticide Concentration in Dietary Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 29(10), pages 1427-1442, October.
    18. Philip Gleason & Carol Suitor, "undated". "Children's Diets in the Mid-1990s: Dietary Intake and Its Relationship with School Meal Participation," Mathematica Policy Research Reports 8db693ba4d8640ec87d978a34, Mathematica Policy Research.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:isu:genres:1036. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Curtis Balmer (email available below). General contact details of provider: https://edirc.repec.org/data/deiasus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.