IDEAS home Printed from https://ideas.repec.org/a/spt/stecon/v4y2015i4f4_4_2.html
   My bibliography  Save this article

Wind speed analysis with the upper truncated quasi Lindley distribution

Author

Listed:
  • Emrah Altun
  • Gamze Ozel

Abstract

We propose a new distribution with extra shape parameter named a truncated quasi Lindley distribution which is more flexible than many well-known distributions. Mathematical and statistical properties of truncated quasi Lindley distribution are given only for upper truncated version of quasi Lindley distribution to reduce the mathematical complexity. An important property of the upper truncated quasi Lindley distribution is that it can have bathtub-shaped failure rate function. We present some of its mathematical properties including ordinary moments, quantile and moment generating functions, order statistics. The method of maximum likelihood to estimate the model parameters is discussed and the behavior of maximum likelihood estimator is studied. The importance of the new distribution is illustrated by means of the wind speed data and the capability in modeling wind speed is evaluated. The results indicate that the truncated version of quasi Lindley distribution can provide better fits than Exponential, Lindley, quasi Lindley and Weibull distributions in estimating wind speed distribution. Therefore, truncated quasi Lindley can be an alternative for use in the assessment of wind energy potential.

Suggested Citation

  • Emrah Altun & Gamze Ozel, 2015. "Wind speed analysis with the upper truncated quasi Lindley distribution," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 4(4), pages 1-2.
    • Handle: RePEc:spt:stecon:v:4:y:2015:i:4:f:4_4_2
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JSEM%2fVol%204_4_2.pdf
    Download Restriction: no
    ---><---

    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:spt:stecon:v:4:y:2015:i:4:f:4_4_2. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.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.