A New Generalized Family of Lifetime Distributions Motivated by Parallel and Series Structures

  • Mehdi Goldoust Department of Mathematics, Behbahan Branch, Islamic Azad University, Behbahan, Iran
  • Adel Mohammadpour Department of Statistics, Faculty of Mathematics & Computer Science, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
  • Morad Alizadeh Department of Statistics, Persian Gulf University, Bushehr, Iran
  • Gholamhosein Hamedani Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, USA
Keywords: Reliability, Power series and Compound distributions, Truncated moments.

Abstract

Any given system can be represented as a parallel arrangement of series structures. Motivated by this fact, a general family of distributions is introduced, by adding two extra parameters to a distribution (called baseline distribution),twice compounding with power series distribution. The new family can allow various hazard rate curves that compete well with other alternatives in fitting real data. We derive formal expressions for its moments, generating function, mean residual lifetime and other reliability functions. Certain characterizations of the new family are presented in terms of the ratio of two truncated moments as well as based on the hazard rate function. The maximum likelihood estimation technique is used to estimate the model parameters and a simulation study is conducted to investigate the performance of the maximum likelihood estimates. Finally, two applications of the model with real data sets are presented to illustrate the usefulness of the proposed distribution.

Author Biography

Morad Alizadeh, Department of Statistics, Persian Gulf University, Bushehr, Iran
Department of Statistics, Persian Gulf University, Bushehr, Iran

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Published
2019-12-01
How to Cite
Goldoust, M., Mohammadpour, A., Alizadeh, M., & Hamedani, G. (2019). A New Generalized Family of Lifetime Distributions Motivated by Parallel and Series Structures. Statistics, Optimization & Information Computing, 7(4), 779-801. https://doi.org/10.19139/soic-2310-5070-719
Section
Research Articles