ON MODIFIED KIES DISTRIBUTION AND ITS APPLICATIONS

Authors

  • C. SATHEESH KUMAR
  • S. H. S. DHARMAJA

Keywords:

Failure rate, Fisher information matrix, Maximum likelihood estimation, Model selection, Percentile measures, Simulation.

Abstract

In this paper, we consider a class of bathtub-shaped hazard function distribution through
modifying the Kies distribution and investigate some of its important properties by deriving
expressions for its percentile function, raw moments, stress-strength reliability measure etc.
The parameters of the distribution are estimated by the method of maximum likelihood and
discussed some of its reliability applications with the help of certain real life data sets. In
addition, the asymptotic behavior of the maximum likelihood estimators of the parameters
of the distribution is examined by using simulated data sets.

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Issue

Vol. 51 No. 1 (2017)

Section

Articles