IDEAS home Printed from https://ideas.repec.org/a/vrs/offsta/v33y2017i1p207-222n11.html
   My bibliography  Save this article

Adjusting for Misclassification: A Three-Phase Sampling Approach

Author

Listed:
  • Sang Hailin

    (Department of Mathematics, University of Mississippi, University, MS 38677, United States of America)

  • Lopiano Kenneth K.

    (Roundtable Analytics, Research Triangle Park, NC 27709, United States of America)

  • Abreu Denise A.
  • Lamas Andrea C.
  • Young Linda J.

    (National Agricultural Statistics Service Research and Development, USDA, 1400 Independence Ave. SW, Room 6035, United States of America)

  • Arroway Pam

    (EDUCAUSE, 282 Century Place, Ste 5000 Louisville, CO 80027, United States of America)

Abstract

The United States Department of Agriculture’s National Agricultural Statistics Service (NASS) conducts the June Agricultural Survey (JAS) annually. Substantial misclassification occurs during the prescreening process and from field-estimating farm status for nonresponse and inaccessible records, resulting in a biased estimate of the number of US farms from the JAS. Here, the Annual Land Utilization Survey (ALUS) is proposed as a follow-on survey to the JAS to adjust the estimates of the number of US farms and other important variables. A three-phase survey design-based estimator is developed for the JAS-ALUS with nonresponse adjustment for the second phase (ALUS). A design-unbiased estimator of the variance is provided in explicit form.

Suggested Citation

  • Sang Hailin & Lopiano Kenneth K. & Abreu Denise A. & Lamas Andrea C. & Young Linda J. & Arroway Pam, 2017. "Adjusting for Misclassification: A Three-Phase Sampling Approach," Journal of Official Statistics, Sciendo, vol. 33(1), pages 207-222, March.
    • Handle: RePEc:vrs:offsta:v:33:y:2017:i:1:p:207-222:n:11
    DOI: 10.1515/jos-2017-0011
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jos-2017-0011
    Download Restriction: no
    File URL: https://libkey.io/10.1515/jos-2017-0011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Roberto Benedetti & Federica Piersimoni & Paolo Postiglione, 2015. "Sampling Spatial Units for Agricultural Surveys," Advances in Spatial Science, Springer, edition 127, number 978-3-662-46008-5, Fall.
    2. Peter F. Thall & Derek Jacoby & Stuart O. Zimmerman, 1996. "Estimating Genomic Category Probabilities from Fluorescent in Situ Hybridization Counts with Misclassification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 45(4), pages 431-446, December.
    3. Abreu, Denise A. & McCarthy, Jaki S. & Colburn, Leslie A., 2010. "Impact of the Screening Procedures of the June Area Survey on the Number of Farms Estimates," NASS Research Reports 234374, United States Department of Agriculture, National Agricultural Statistics Service.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abreu, Denise A. & Lamas, Andrea C. & Sang, Hailin & Lopiano, Kenneth K. & Arroway, Pam & Young, Linda J., 2011. "On the Feasibility of Using NASS’s Sampling List Frame to Evaluate Misclassification Errors of the June Area Survey," NASS Research Reports 235030, United States Department of Agriculture, National Agricultural Statistics Service.
    2. Xin Zhao & Anton Grafström, 2020. "A sample coordination method to monitor totals of environmental variables," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.
    3. Linda Altieri & Daniela Cocchi, 2021. "Spatial Sampling for Non‐compact Patterns," International Statistical Review, International Statistical Institute, vol. 89(3), pages 532-549, December.
    4. Letícia Ellen Dal Canton & Luciana Pagliosa Carvalho Guedes & Miguel Angel Uribe-Opazo, 2021. "Reduction of Sample Size in the Soil Physical-Chemical Attributes Using the Multivariate Effective Sample Size," Journal of Agricultural Studies, Macrothink Institute, vol. 9(1), pages 357-376, June.
    5. C. Ferraz & F. Mecatti & J. Torres, 2023. "Dual frame design in agricultural surveys: reviewing roots and methodological perspectives," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 593-617, June.
    6. Wilmer Prentius & Xin Zhao & Anton Grafström, 2021. "Combining Environmental Area Frame Surveys of a Finite Population," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(2), pages 250-266, June.
    7. Linda J. Young & Andrea C. Lamas & Denise A. Abreu, 2017. "The 2012 Census of Agriculture: A Capture–Recapture Analysis," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(4), pages 523-539, December.
    8. Linda J. Young & Michael Jacobsen, 2022. "Sample Design and Estimation When Using a Web-Scraped List Frame and Capture-Recapture Methods," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(2), pages 261-279, June.
    9. Guillaume Chauvet & Ronan Le Gleut, 2021. "Inference under pivotal sampling: Properties, variance estimation, and application to tesselation for spatial sampling," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(1), pages 108-131, March.
    10. Lopiano, Kenneth K. & Lamas, Andrea C. & Abreu, Denise A. & Arroway, Pam & Young, Linda J., 2011. "Adjusting the June Area Survey Estimate of the Number of U.S. Farms for Misclassification and Non-response," NASS Research Reports 235033, United States Department of Agriculture, National Agricultural Statistics Service.
    11. Giuseppe Espa & Diego Giuliani & Flavio Santi & Emanuele Taufer, 2017. "Model-based variance estimation in two-dimensional systematic sampling," METRON, Springer;Sapienza Università di Roma, vol. 75(3), pages 265-275, December.
    12. R. Benedetti & F. Piersimoni & P. Postiglione, 2017. "Alternative and complementary approaches to spatially balanced samples," METRON, Springer;Sapienza Università di Roma, vol. 75(3), pages 249-264, December.
    13. repec:ags:unassr:235030 is not listed on IDEAS
    14. Roberto Benedetti & Federica Piersimoni & Paolo Postiglione, 2017. "Spatially Balanced Sampling: A Review and A Reappraisal," International Statistical Review, International Statistical Institute, vol. 85(3), pages 439-454, December.
    15. Zhonglei Wang & Zhengyuan Zhu, 2019. "Spatiotemporal Balanced Sampling Design for Longitudinal Area Surveys," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(2), pages 245-263, June.
    16. repec:ags:unassr:235033 is not listed on IDEAS
    17. Chauvet, Guillaume & Ruiz-Gazen, Anne, 2017. "A comparison of pivotal sampling and unequal probability sampling with replacement," Statistics & Probability Letters, Elsevier, vol. 121(C), pages 1-5.

    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:vrs:offsta:v:33:y:2017:i:1:p:207-222:n:11. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.