IDEAS home Printed from https://ideas.repec.org/a/csb/stintr/v15y2014i2p197-220.html
   My bibliography  Save this article

Effective Rotation Patterns for Median Estimation in Successive Sampling

Author

Listed:
  • Richa Mittal
  • Kumari Priyanka

Abstract

The present work deals with the problem of estimation of population median at current occasion in two-occasion successive sampling. Best linear unbiased estimators have been proposed by utilizing additional auxiliary information, readily available on both the occasions. Asymptotic variances of the proposed estimators are derived and the optimum replacement policies are discussed. The behaviours of the proposed estimators are analyzed on the basis of data from natural populations. Simulation studies have been carried out to measure the precision of the proposed estimators

Suggested Citation

  • Richa Mittal & Kumari Priyanka, 2014. "Effective Rotation Patterns for Median Estimation in Successive Sampling," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(2), pages 197-220, March.
    • Handle: RePEc:csb:stintr:v:15:y:2014:i:2:p:197-220
    as

    Download full text from publisher

    File URL: http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v15_2014_i2_n3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. María Rueda & Juan Muñoz & Antonio Arcos, 2008. "Successive Sampling to Estimate Quantiles with P-Auxiliary Variables," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(4), pages 427-443, August.
    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. Priyanka Kumari & Mittal Richa, 2017. "New Approaches Using Exponential Type Estimator With Cost Modelling for Population Mean on Successive Waves," Statistics in Transition New Series, Statistics Poland, vol. 18(4), pages 569-587, December.
    2. Priyanka Kumari & Trisandhya Pidugu, 2019. "Modelling Sensitive Issues On Successive Waves," Statistics in Transition New Series, Statistics Poland, vol. 20(1), pages 41-65, March.
    3. 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.
    4. Kumari Priyanka & Richa Mittal, 2017. "New Approaches Using Exponential Type Estimator With Cost Modelling For Population Mean On Successive Waves," Statistics in Transition New Series, Polish Statistical Association, vol. 18(4), pages 569-587, December.
    5. Kumari Priyanka & Pidugu Trisandhya, 2019. "Modelling Sensitive Issues On Successive Waves," Statistics in Transition New Series, Polish Statistical Association, vol. 20(1), pages 41-65, March.

    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.

      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:csb:stintr:v:15:y:2014:i:2:p:197-220. 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: Beata Witek (email available below). General contact details of provider: https://edirc.repec.org/data/gusgvpl.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.