Abstract

The Sushila distribution is generalized in this article using the quadratic rank transmutation map as developed by Shaw and Buckley (2007). The newly developed distribution is called the Transmuted Sushila distribution (TSD). Various mathematical properties of the distribution are obtained. Real lifetime data is used to compare the performance of the new distribution with other related distributions. The results shown by the new distribution perform creditably well.

Highlights

  • Last few years have witnessed generalizations of various lifetime distributions

  • The Sushila distribution is generalized in this article using the quadratic rank transmutation map as developed by Shaw and Buckley (2007)

  • The results shown by the new distribution perform creditably well

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Summary

Introduction

Last few years have witnessed generalizations of various lifetime distributions. This is achieved by compounding the distribution with any of new families of distributions. The process involves introduction of new shape parameter(s) to improve flexibility of the baseline distribution. Researchers in sciences and engineering have applied these families of distribution to improve modelling of various lifetime data. Given a baseline distribution with the CDF G(x), the Quadratic Transmuted (QT) family of distributions has the cdf : F(x) = (1 + a)G(x) − a G(x). Researchers have applied (1.2) and introduced different new members of the QT family for diverse lifetime distributions. List of some QT distributions was provided by [14]

Transmuted Sushila Distribution
Reliability Analysis
Order Statistics
Parameter Estimation
Asymptotic Confidence Bounds of TSD
Application
Conclusion
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