IDEAS home Printed from
   My bibliography  Save this article

Computing circadian rhythmic patterns and beyond: introduction to a new non-Fourier analysis


  • Hsieh Fushing
  • Shu-Chun Chen
  • How-Jing Lee



No abstract is available for this item.

Suggested Citation

  • Hsieh Fushing & Shu-Chun Chen & How-Jing Lee, 2009. "Computing circadian rhythmic patterns and beyond: introduction to a new non-Fourier analysis," Computational Statistics, Springer, vol. 24(3), pages 409-430, August.
  • Handle: RePEc:spr:compst:v:24:y:2009:i:3:p:409-430 DOI: 10.1007/s00180-008-0134-8

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. repec:eee:reensy:v:92:y:2007:i:6:p:719-726 is not listed on IDEAS
    2. Saralees Nadarajah, 2009. "Bathtub-shaped failure rate functions," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(5), pages 855-863, September.
    3. Amit Choudhury, 2005. "A Simple Derivation of Moments of the Exponentiated Weibull Distribution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 62(1), pages 17-22, September.
    4. Richards, S. J., 2008. "Applying Survival Models to Pensioner Mortality Data," British Actuarial Journal, Cambridge University Press, vol. 14(02), pages 257-303, July.
    5. Jones, Bruce L. & Mereu, John A., 2002. "A critique of fractional age assumptions," Insurance: Mathematics and Economics, Elsevier, vol. 30(3), pages 363-370, June.
    6. Borovkov, Konstantin A. & Dickson, David C.M., 2008. "On the ruin time distribution for a Sparre Andersen process with exponential claim sizes," Insurance: Mathematics and Economics, Elsevier, vol. 42(3), pages 1104-1108, June.
    7. D. T. Shirke & R. R. Kumbhar & D. Kundu, 2005. "Tolerance intervals for exponentiated scale family of distributions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(10), pages 1067-1074.
    8. K.K. Thampi & M.J. Jacob, 2008. "Moments of the time of ruin in a renewal risk model with discounted penalty," Journal of Risk Finance, Emerald Group Publishing, vol. 9(2), pages 173-187, February.
    9. Kundu, Debasis & Raqab, Mohammad Z., 2005. "Generalized Rayleigh distribution: different methods of estimations," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 187-200, April.
    10. Beirlant, Jan & Goegebeur, Yuri & Verlaak, Robert & Vynckier, Petra, 1998. "Burr regression and portfolio segmentation," Insurance: Mathematics and Economics, Elsevier, vol. 23(3), pages 231-250, December.
    Full references (including those not matched with items on IDEAS)


    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:spr:compst:v:24:y:2009:i:3:p:409-430. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.