IDEAS home Printed from https://ideas.repec.org/a/ijb/journl/v4y2005i3p223-230.html
   My bibliography  Save this article

Estimating Function Approach to a Time-Dependent Recovery Model for Survival Rates in a Business District

Author

Listed:
  • Yunn-Kuang Chu

    (Department of Statistics, National Taichung Institute of Technology, Taiwan)

  • Jeryan Lin

    (Department of Statistics, Feng Chia University, Taiwan)

Abstract

Burnham and Rexstad (1993) presented a band recovery model that incorporates time-dependent recovery rates and survival rates. In this paper, an estimating function approach is proposed to derive estimators of recovery rates and survival rates. Explicit expressions are given for the derived estimators and their associated asymptotic variances. Examples, including a case for the survival of stalls in the Feng Chia University business district night market, are used to demonstrate the proposed estimating function approach.

Suggested Citation

  • Yunn-Kuang Chu & Jeryan Lin, 2005. "Estimating Function Approach to a Time-Dependent Recovery Model for Survival Rates in a Business District," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 4(3), pages 223-230, December.
    • Handle: RePEc:ijb:journl:v:4:y:2005:i:3:p:223-230
    as

    Download full text from publisher

    File URL: https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.04-3/pdf/vol_4-3-4.pdf
    Download Restriction: no
    File URL: https://ijbe.fcu.edu.tw/assets/ijbe/past_issue/No.04-3/abstract/04.html
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    band recovery model; survival rate; stall; business district;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    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:ijb:journl:v:4:y:2005:i:3:p:223-230. 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: Szu-Hsien Ho (email available below). General contact details of provider: https://edirc.repec.org/data/cbfcutw.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.