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Extended New Generalized Lindley Distribution

Author

Listed:
  • D. S. Shibu

    (University College, Trivandrum - India)

  • M. R. Irshad

    (University College, Trivandrum - India)

Abstract

In this paper, we consider an extended version of new generalized Lindley distribution (NGLD). We refer to this new generalization as the extended new generalized Lindley distribution (ENGLD). A comprehensive account of the mathematical properties of the new distribution including estimation is presented. A real life data set is considered here to illustrate the relevance of the new model and compared it with other forms of Lindley models using method of moment estimation and method of maximum likelihood estimation.

Suggested Citation

  • D. S. Shibu & M. R. Irshad, 2016. "Extended New Generalized Lindley Distribution," Statistica, Department of Statistics, University of Bologna, vol. 76(1), pages 41-56.
    • Handle: RePEc:bot:rivsta:v:76:y:2016:i:1:p:41-56
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    Cited by:

    1. Chakraburty Subrata & Alizadeh Morad & Handique Laba & Altun Emrah & Hamedani G. G., 2021. "A new extension of Odd Half-Cauchy Family of Distributions: properties and applications with regression modeling," Statistics in Transition New Series, Polish Statistical Association, vol. 22(4), pages 77-100, December.
    2. Subhradev Sen & Hazem Al-Mofleh & Sudhansu S. Maiti, 2021. "On Discrimination Between the Lindley and xgamma Distributions," Annals of Data Science, Springer, vol. 8(3), pages 559-575, September.
    3. Subrata Chakraburty & Morad Alizadeh & Laba Handique & Emrah Altun & G. G. Hamedani, 2021. "A new extension of Odd Half-Cauchy Family of Distributions: properties and applications with regression modeling," Statistics in Transition New Series, Polish Statistical Association, vol. 22(4), pages 77-100, December.

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