Main Article Content

Abstract

A new distribution with flexible hazard rate function is introduced which is called new modified Burr XII (NMBXII) distribution. The proposed distribution is derived from the T-X family technique and compounding the generalized Nadarajah–Haghighi (GNH) and gamma distributions. We highlighted the shapes of NMBXII density and failure rate functions. The density function of NMBXII model can take shapes such as J, reverse J, positively skewed and symmetrical.  The proposed model can produce almost all types of failure rates such as increasing, decreasing, increasing-decreasing, decreasing-increasing, bimodal, inverted bathtub and modified bathtub. To show the importance of the proposed distribution, we established various mathematical properties such as quantiles, moments, incomplete moments, inequality measures, residual life functions and reliability measures theoretically.  We have characterized the NMBXII distribution via two techniques. We addressed the maximum likelihood estimation technique for model parameters. The precision of the MLEs is estimated via a simulation study. We have considered three real data sets for applications to demonstrate the potentiality and utility of the NMBXII model. Then, we have established empirically that the proposed model is suitable for tax revenue, time periods between successive earthquakes and flood discharges applications. Finally, various model selection criteria, the goodness of fit statistics and graphical tools were used to examine the adequacy of the NMBXII distribution. 

Keywords

Moments Reliability Characterizations Maximum Likelihood Estimation

Article Details

How to Cite
Bhatti, F. A., Hamedani, G. G., Korkmaz, M. Ç., Yousof, H. M., & Ahmad, M. (2023). On The New Modified Burr XII Distribution: Development, Properties, Characterizations and Applications. Pakistan Journal of Statistics and Operation Research, 19(2), 327-348. https://doi.org/10.18187/pjsor.v19i2.3350

References

  1. Alzaatreh, A., Mansoor, M., Tahir, M. H., Zubair, M., & Ali, S. (2016). The Gamma Half-Cauchy Distribution: Properties and Applications. Hacettepe Journal of Mathematics and Statistics, 45, 1143 -1159.
  2. Cordeiro, G. M., & de Castro, M. (2011). A new family of generalized distributions. Journal of statistical computation and simulation, 81, 883-898.
  3. Cordeiro, G. M., Bourguignon, M., Ortega, E. M., & Ramires, T. G. (2018). General mathematical properties, regression and applications of the log-gamma-generated family. Communications in Statistics-Theory and Methods, 47, 1050-1070.
  4. Flajolet, P., and A. Odlyzko. 1990. Singularity analysis of generating function. Siam Journal on Discrete Mathematics 3, 216-240.
  5. Flajolet, P., and R. Sedgewick. 2009. Analytic combinatorics. Cambridge: Cambridge University Press.
  6. Glänzel, W. A. (1990). Some consequences of a characterization theorem based on truncated moments, Statistics, 21, 613 - 618.
  7. Gradshteyn, I. S., & Ryzhik, I. M. (2000). Table of integrals, series, and products 6th edn (san diego, ca: Academic)
  8. Gupta, R. C., Kannan, N. and Raychaudhuri, A. (1997). Analysis of lognormal survival data. Math. Biosci. 139, 103-115.
  9. Haghbin, H., Ozel, G., Alizadeh, M., & Hamedani, G. G. (2017). A new generalized odd log-logistic family of distributions. Communications in Statistics-Theory and Methods, 46, 9897-9920.
  10. Kong, L., Lee, C., & Sepanski, J. H. (2007). On the properties of beta-gamma distribution. Journal of Modern Applied Statistical Methods, 6, 18.
  11. Korkmaz, M. (2017). A generalized skew slash distribution via gamma-normal distribution. Communications in Statistics-Simulation and Computation, 46, 1647-1660.
  12. Kotz S, Lai CD, Xie M. (2003). On the Effect of Redundancy for Systems with Dependent Components.IIE Trans, 35, 1103-1110.
  13. Lee, E. T. and Wang, J. W. (2003). Statistical Methods for Survival Data Analysis, 3rd ed., Wiley, New York.
  14. Lemonte, A. J. and Cordeiro, G. M. (2013). An extended Lomax distribution. Statistics, 47, 800-816.
  15. Rezaei, S., Sadr, B. B., Alizadeh, M., & Nadarajah, S. (2017). Topp-Leone generated family of distributions: Properties and applications. Communications in Statistics-Theory and Methods, 46, 2893-2909.