IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2020i1p76-d472986.html
   My bibliography  Save this article

Multiple Comparisons for Exponential Median Lifetimes with the Control Based on Doubly Censored Samples

Author

Listed:
  • Shu-Fei Wu

    (Department of Statistics, Tamkang University, Tamsui, New Taipei City 251301, Taiwan)

Abstract

Under doubly censoring, the one-stage multiple comparison procedures with the control in terms of exponential median lifetimes are presented. The uniformly minimum variance unbiased estimator for median lifetime is found. The upper bounds, lower bounds and two-sided confidence intervals for the difference between each median lifetimes and the median lifetime of the control population are developed. Statistical tables of critical values are constructed for the practical use of our proposed procedures. Users can use these simultaneous confidence intervals to determine whether the performance of treatment populations is better than or worse than the control population in agriculture and pharmaceutical industries. At last, one practical example is provided to illustrate the proposed procedures.

Suggested Citation

  • Shu-Fei Wu, 2020. "Multiple Comparisons for Exponential Median Lifetimes with the Control Based on Doubly Censored Samples," Mathematics, MDPI, vol. 9(1), pages 1-8, December.
    • Handle: RePEc:gam:jmathe:v:9:y:2020:i:1:p:76-:d:472986
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/1/76/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/9/1/76/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:9:y:2020:i:1:p:76-:d:472986. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.