IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i24p3328-d707093.html
   My bibliography  Save this article

Further Properties and Estimations of Exponentiated Generalized Linear Exponential Distribution

Author

Listed:
  • Chien-Tai Lin

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

  • Yu Liu

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

  • Yun-Wei Li

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

  • Zhi-Wei Chen

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

  • Hassan M. Okasha

    (Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Current home address: Department of Mathematics, Faculty of Science, Al-Azhar University, Nasr City, Cairo 11884, Egypt.)

Abstract

The recent exponentiated generalized linear exponential distribution is a generalization of the generalized linear exponential distribution and the exponentiated generalized linear exponential distribution. In this paper, we study some statistical properties of this distribution such as negative moments, moments of order statistics, mean residual lifetime, and their asymptotic distributions for sample extreme order statistics. Different estimation procedures include the maximum likelihood estimation, the corrected maximum likelihood estimation, the modified maximum likelihood estimation, the maximum product of spacing estimation, and the least squares estimation are compared via a Monte Carlo simulation study in terms of their biases, mean squared errors, and their rates of obtaining reliable estimates. Recommendations are made from the simulation results and a numerical example is presented to illustrate its use for modeling a rainfall data from Orlando, Florida.

Suggested Citation

  • Chien-Tai Lin & Yu Liu & Yun-Wei Li & Zhi-Wei Chen & Hassan M. Okasha, 2021. "Further Properties and Estimations of Exponentiated Generalized Linear Exponential Distribution," Mathematics, MDPI, vol. 9(24), pages 1-31, December.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:24:p:3328-:d:707093
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/24/3328/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/24/3328/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mahmoud, M.A.W. & Alam, Farouq Mohammad A., 2010. "The generalized linear exponential distribution," Statistics & Probability Letters, Elsevier, vol. 80(11-12), pages 1005-1014, June.
    Full references (including those not matched with items on IDEAS)

    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. Atem Bol A. M. & Nasiru Suleman & Nantomah Kwara, 2018. "Topp–Leone Linear Exponential Distribution," Stochastics and Quality Control, De Gruyter, vol. 33(1), pages 31-43, June.
    2. Mustapha Muhammad & Rashad A. R. Bantan & Lixia Liu & Christophe Chesneau & Muhammad H. Tahir & Farrukh Jamal & Mohammed Elgarhy, 2021. "A New Extended Cosine—G Distributions for Lifetime Studies," Mathematics, MDPI, vol. 9(21), pages 1-29, 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:gam:jmathe:v:9:y:2021:i:24:p:3328-:d:707093. 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: 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.