A NEW INVERSE TWO-PARAMETER LINDLEY DISTRIBUTION AND ITS APPLICATION

Authors

  • Tal Mark Pokalas
    Micheal okpara University of Agriculture, Umudike
  • Chisimkwuo John
  • Pokalas Paiyun-Dayi Tal
  • Ohakwe Johnson

Keywords:

Moments, Hazard rate, Survival function, Maximum likelihood estimator, Goodness- of -fit

Abstract

This paper proposes an inverse two-parameter Lindley distribution by utilizing the one and two parameter Lindley distributions. The key properties of the novel distribution like, its survival function, shape characteristics of the density, entropy measure, hazard rate function, stochastic ordering and stress-strength reliability were examined. Two data sets were employed in the empirical studies.  Method of maximum likelihood was used to estimate the parameters. The goodness- of -fit was accessed using the HQIC, BIC, CAIC, and AIC. The proposed distribution was compared with the inverse Lindley and the inverse Akash distributions in order to access its superiority over the two distributions. Ultimately, the new inverse two parameter Lindley distribution was found to be superior by providing a better fit.

Dimensions

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Sharma, V., Singh, U. and Agiwal, V. (2015). The Inverse Lindley distribution - A stress strength reliability model with applications to head and neck cancer data, Journal of industrial and production Engineering, 32 (3), 162-173.

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Published

30-06-2024

How to Cite

A NEW INVERSE TWO-PARAMETER LINDLEY DISTRIBUTION AND ITS APPLICATION. (2024). FUDMA JOURNAL OF SCIENCES, 8(3), 214-218. https://doi.org/10.33003/fjs-2024-0803-2333

Issue

Vol. 8 No. 3 (2024): FUDMA Journal of Sciences - Vol. 8 No. 3

Section

Research Articles
Copyright & Licensing

How to Cite

A NEW INVERSE TWO-PARAMETER LINDLEY DISTRIBUTION AND ITS APPLICATION. (2024). FUDMA JOURNAL OF SCIENCES, 8(3), 214-218. https://doi.org/10.33003/fjs-2024-0803-2333

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