IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6196251.html
   My bibliography  Save this article

Generalized Estimation for Two-Parameter Life Time Distributions Based on Fuzzy Life Times

Author

Listed:
  • Syed Habib Shah
  • Muhammad Shafiq
  • Qamruz Zaman
  • Mingwei Lin

Abstract

Ongoing developments of the measurement sciences say that measurements based on continuous phenomena are no more precise observations but more or less fuzzy. Therefore, it is necessary to utilize this imprecision of observations to obtain such estimators, which are based on all the available information that is given in the form of randomness and fuzziness. Objective of this research was to get such parameter estimation procedure that utilizes all the available information for some well-known two-parameter life time distributions. Therefore, the estimators need to be generalized in such a way to cover both uncertainties. For this purpose, based on δ-cuts of the life time observations, the generalized estimators are developed in such manner to cover stochastic variation in addition to fuzziness. The proposed generalized estimators are much preferred over classical estimators for life time analysis as these are based on all the available information present in the form of fuzziness of single observations and random variation among the observations to make suitable inferences.

Suggested Citation

  • Syed Habib Shah & Muhammad Shafiq & Qamruz Zaman & Mingwei Lin, 2022. "Generalized Estimation for Two-Parameter Life Time Distributions Based on Fuzzy Life Times," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, May.
    • Handle: RePEc:hin:jnlmpe:6196251
    DOI: 10.1155/2022/6196251
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/6196251.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2022/6196251.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/6196251?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
    ---><---

    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:hin:jnlmpe:6196251. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.