The Adjusted Log-logistic Generalized Exponential Distribution with Application to Lifetime Data


  •  Idika Okorie    
  •  A. Akpanta    
  •  J. Ohakwe    
  •  D. Chikezie    
  •  C. Onyemachi    
  •  E. Obi    

Abstract

This paper introduces a new generator of probability distribution-the adjusted log-logistic generalized (ALLoG) distribution and a new extension of the standard one parameter exponential distribution called the adjusted log-logistic generalized exponential (ALLoGExp) distribution. The ALLoGExp distribution is a special case of the ALLoG distribution and we have provided some of its statistical and reliability properties. Notably, the failure rate could be monotonically decreasing, increasing or upside-down bathtub shaped depending on the value of the parameters $\delta$ and $\theta$. The method of maximum likelihood estimation was proposed to estimate the model parameters. The importance and flexibility of the ALLoGExp distribution was demonstrated with a real and uncensored lifetime data set and its fit was compared with five other exponential related distributions. The results obtained from the model fittings shows that the ALLoGExp distribution provides a reasonably better fit than the one based on the other fitted distributions. The ALLoGExp distribution is therefore recommended for effective modelling of lifetime data sets.


This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1927-7032
  • ISSN(Online): 1927-7040
  • Started: 2012
  • Frequency: bimonthly

Journal Metrics

  • h-index (December 2020): 18
  • i10-index (December 2020): 36
  • h5-index (December 2020): N/A
  • h5-median(December 2020): N/A

( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )

Contact