IDEAS home Printed from https://ideas.repec.org/a/spr/stpapr/v48y2007i2p215-233.html
   My bibliography  Save this article

A stratified unrelated question randomized response model

Author

Listed:
  • Jong-Min Kim
  • Matthew Elam

Abstract

No abstract is available for this item.

Suggested Citation

  • Jong-Min Kim & Matthew Elam, 2007. "A stratified unrelated question randomized response model," Statistical Papers, Springer, vol. 48(2), pages 215-233, April.
    • Handle: RePEc:spr:stpapr:v:48:y:2007:i:2:p:215-233
    DOI: 10.1007/s00362-006-0327-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00362-006-0327-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00362-006-0327-6?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
    ---><---

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

    References listed on IDEAS

    as
    1. Jong-Min Kim & M. E. Elam, 2005. "A two-stage stratified Warner’s randomized response model using optimal allocation," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 61(1), pages 1-7, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Horng-Jinh Chang & Mei-Pei Kuo, 2012. "Estimation of population proportion in randomized response sampling using weighted confidence interval construction," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(5), pages 655-672, July.
    2. Mausumi Bose, 2015. "Respondent privacy and estimation efficiency in randomized response surveys for discrete-valued sensitive variables," Statistical Papers, Springer, vol. 56(4), pages 1055-1069, November.
    3. Tanveer A. Tarray & Housila P. Singh & Zaizai Yan, 2017. "A Dexterous Optional Randomized Response Model," Sociological Methods & Research, , vol. 46(3), pages 565-585, August.
    4. Kumari Priyanka & Pidugu Trisandhya & Richa Mittal, 2018. "Dealing sensitive characters on successive occasions through a general class of estimators using scrambled response techniques," METRON, Springer;Sapienza Università di Roma, vol. 76(2), pages 203-230, August.
    5. Singh, Housila P. & Tarray, Tanveer A., 2014. "A dexterous randomized response model for estimating a rare sensitive attribute using Poisson distribution," Statistics & Probability Letters, Elsevier, vol. 90(C), pages 42-45.

    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. Jun-Wu Yu & Guo-Liang Tian & Man-Lai Tang, 2008. "Two new models for survey sampling with sensitive characteristic: design and analysis," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 67(3), pages 251-263, April.
    2. Housila P. Singh & Tanveer A. Tarray, 2015. "An Efficient Alternative Mixed Randomized Response Procedure," Sociological Methods & Research, , vol. 44(4), pages 706-722, November.
    3. Oluseun Odumade & Sarjinder Singh, 2010. "An Alternative to the Bar-Lev, Bobovitch, and Boukai Randomized Response Model," Sociological Methods & Research, , vol. 39(2), pages 206-221, November.
    4. Tanveer A. Tarray & Housila P. Singh & Zaizai Yan, 2017. "A Dexterous Optional Randomized Response Model," Sociological Methods & Research, , vol. 46(3), pages 565-585, August.
    5. Kuo-Chung Huang, 2008. "Estimation for sensitive characteristics using optional randomized response technique," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(5), pages 679-686, October.
    6. Sally Abdelfatah & Reda Mazloum, 2016. "An efficient two-stage randomized response model under stratified random sampling," Mathematical Population Studies, Taylor & Francis Journals, vol. 23(4), pages 222-238, October.

    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:spr:stpapr:v:48:y:2007:i:2:p:215-233. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.