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Modeling Australian Twin Data Using Generalized Lindley Shared Frailty Models

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Applied Statistical Methods (ISGES 2020)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 380))

Abstract

A new class of shared frailty models based on generalized Lindley distribution is established. We propose shared frailty models based on reversed hazard rate. We estimate the parameters in these frailty models and use the Bayesian paradigm of the Markov chain Monte Carlo technique. Model selection criteria have been performed for the comparison of models. We analyze Australian twin data and suggest a better model.

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Acknowledgements

We thank both the referees for the valuable suggestions and comments.

Author information

Authors and Affiliations

  1. Department of Statistics, Central University of Rajasthan, Rajasthan, India

    Arvind Pandey, Shikhar Tyagi & Pragya Gupta

  2. Department of Statistics, S. P. Pune University, Pune, India

    David D. Hanagal

Authors
  1. Arvind Pandey
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  2. David D. Hanagal
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  3. Shikhar Tyagi
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  4. Pragya Gupta
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Editor information

Editors and Affiliations

  1. Pune, Maharashtra, India

    David D. Hanagal

  2. Department of Statistics, Savitribai Phule Pune University, Pune, Maharashtra, India

    Raosaheb V. Latpate

  3. Division of Forestry Statistics, Indian Council of Forestry Research and Education, Dehradun, Uttarakhand, India

    Girish Chandra

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Pandey, A., Hanagal, D.D., Tyagi, S., Gupta, P. (2022). Modeling Australian Twin Data Using Generalized Lindley Shared Frailty Models. In: Hanagal, D.D., Latpate, R.V., Chandra, G. (eds) Applied Statistical Methods. ISGES 2020. Springer Proceedings in Mathematics & Statistics, vol 380. Springer, Singapore. https://doi.org/10.1007/978-981-16-7932-2_10

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