IDEAS home Printed from https://ideas.repec.org/a/bes/jnlasa/v103i484y2008p1405-1418.html
   My bibliography  Save this article

Domain-Level Covariance Analysis for Multilevel Survey Data With Structured Nonresponse

Author

Listed:
  • O’Malley, A. James
  • Zaslavsky, Alan M.

Abstract

No abstract is available for this item.

Suggested Citation

  • O’Malley, A. James & Zaslavsky, Alan M., 2008. "Domain-Level Covariance Analysis for Multilevel Survey Data With Structured Nonresponse," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1405-1418.
    • Handle: RePEc:bes:jnlasa:v:103:i:484:y:2008:p:1405-1418
    as

    Download full text from publisher

    File URL: http://pubs.amstat.org/doi/abs/10.1198/016214508000000724
    File Function: full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Hang J. Kim & Jörg Drechsler & Katherine J. Thompson, 2021. "Synthetic microdata for establishment surveys under informative sampling," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 255-281, January.
    2. Chenyang Gu & Haiden Huskamp & Julie Donohue & Sharon‐Lise Normand, 2021. "A Bayesian hierarchical model for characterizing the diffusion of new antipsychotic drugs," Biometrics, The International Biometric Society, vol. 77(2), pages 649-660, June.
    3. Junhao Pan & Edward Haksing Ip & Laurette Dubé, 2020. "Multilevel Heterogeneous Factor Analysis and Application to Ecological Momentary Assessment," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 75-100, March.
    4. Kim Hang J. & Karr Alan F. & Reiter Jerome P., 2015. "Statistical Disclosure Limitation in the Presence of Edit Rules," Journal of Official Statistics, Sciendo, vol. 31(1), pages 121-138, March.
    5. Harm Jan Boonstra & Jan van den Brakel & Sumonkanti Das, 2021. "Multilevel time series modelling of mobility trends in the Netherlands for small domains," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 985-1007, July.
    6. Wu, Fang & Swait, Joffre & Chen, Yuxin, 2019. "Feature-based attributes and the roles of consumers' perception bias and inference in choice," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 325-340.
    7. Akinc, Deniz & Vandebroek, Martina, 2018. "Bayesian estimation of mixed logit models: Selecting an appropriate prior for the covariance matrix," Journal of choice modelling, Elsevier, vol. 29(C), pages 133-151.

    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:bes:jnlasa:v:103:i:484:y:2008:p:1405-1418. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.amstat.org/publications/jasa/index.cfm?fuseaction=main .

    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.