JOURNAL ARTICLE

Extended inverse Weibull distribution with reliability application

Hassan M. OkashaA. H. El-BazA.M.K. TarabiaAbdulkareem M. Basheer

Year: 2017 Journal:   Journal of the Egyptian Mathematical Society Vol: 25 (3)Pages: 343-349   Publisher: Springer Science+Business Media

Abstract

The aim of this paper is to introduce an extension of the inverse Weibull distribution which offers a more flexible distribution for modeling lifetime data. We extend the inverse Weibull distribution by Marshall–Olkin method (MOEIW). Some statistical properties of the MOEIW are explored, such as quantiles, moments and reliability. Moreover, the estimation of the MOEIW parameters is discussed by using Maximum Likelihood Estimation method. In addition, the estimation of the stress-strength parameter is discussed. Finally, the proposed extended model is applied on real data and the results are given which illustrate the superior performance of the MOEIW distribution compared to other models.

Keywords:
Weibull distribution Quantile Mathematics Reliability (semiconductor) Inverse Maximum likelihood Extension (predicate logic) Statistics Applied mathematics Distribution (mathematics) Weibull modulus Computer science Mathematical analysis Power (physics)

Metrics

47
Cited By
4.10
FWCI (Field Weighted Citation Impact)
19
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Statistical Distribution Estimation and Applications
Physical Sciences →  Mathematics →  Statistics and Probability
Probabilistic and Robust Engineering Design
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty

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