IDEAS home Printed from https://ideas.repec.org/h/ito/pchaps/241852.html
   My bibliography  Save this book chapter

Modeling Heterogeneity Using Lindley Distribution

In: Computational Statistics and Applications

Author

Listed:
  • Lalpawimawha
  • Arvind Pandey

Abstract

Frailty models are intended for use in survival analysis to explain unobserved heterogeneity in an individual caused by various hereditary variables or environmental influences. A shared frailty model was utilized to examine the data. It is based on the idea that frailty affects the hazard rate in a multiplicative manner. In this manuscript, we introduce a new frailty model called the Lindley shared frailty model with exponential power and generalized Rayleigh as baseline distributions. The The Bayesian method of the Monte Carlo method of the Markov chain is used to estimate the parameters used in the model; simulation studies are also carried out to compare the actual and calculated values of the parameters; the proposed model is compared with the Bayesian comparison method Compare and propose the best model of infectious disease data.

Suggested Citation

  • Lalpawimawha & Arvind Pandey, 2022. "Modeling Heterogeneity Using Lindley Distribution," Chapters, in: Ricardo Lopez-Ruiz (ed.), Computational Statistics and Applications, IntechOpen.
    • Handle: RePEc:ito:pchaps:241852
    DOI: 10.5772/intechopen.100340
    as

    Download full text from publisher

    File URL: https://www.intechopen.com/chapters/79477
    Download Restriction: no
    File URL: https://libkey.io/10.5772/intechopen.100340?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

    Keywords

    Bayesian technique; exponential power distribution; generalized Rayleigh distribution; Lindley frailty; MCMC;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

    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:ito:pchaps:241852. 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: Slobodan Momcilovic (email available below). General contact details of provider: http://www.intechopen.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.