Stochastic Comparison of Hariss Family Distributions with Fixed and Randomized tilt Parameter

Document Type : Original Article

Authors
1 Department of Mathematics, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan,Iran
2 Department of Statistics, University of Isfahan, Isfahan, Iran
Abstract
In this paper, we stochastically compare Harris family distributions having random tilt parameter with Harris family distributions having fixed tilt parameter. We also study certain preservation properties of mixtures of Harris family of distributions with regards to their baseline distributions. Comparison tools are various types of orderings, such as the usual, shifted, proportional and shifted proportional stochastic orderings. Several previous findings, regarding Marshall-Olkin family, follow as special cases of our results. We shall also fit a new Harris model to a real data set to illustrate the usefulness of our comparisons.
Keywords

Abbasi, S.; Alamatsaz, M. H.and Cramer, E. (2016), Preservation properties of stochastic orderings by transformation to Harris family with different tilt parameters. Latin American Journal Of Probability And Mathematical Statistics (Alea). 13, 465-479.
Abbasi, S. and Alamatsaz, M. H. (2018), Preservation properties of stochastic orders by transformation to Harris family. Probability and Mathematical Statistics (PMS). 38 (2), 441-458.
Abbasi, S.; Alamatsaz, M. H. (2019), Some bounds related to Harris family of distributions. Communications in Statistics: Theory and Methods. 48 (16), 4082-4095.
Aghababaei Jazi, M.; Alamatsaz, M. H. (2010), Ordering comparison of logseries random variable with its mixture. Communications in Statistics: Theory and Methods.39, 3252-3263.
Aghababaei Jazi, M.; Alamatsaz, M. H.; Abbasi, S. (2011), A unified approach to ordering comparison of GPS distributions with their mixtures. Communications in Statistics: Theory and Methods. 40, 2591-2604.
Alamatsaz, M. H.; Abbasi, S. (2008) Ordering comparison of negative binomial random variable with its mixture. Statistics and Probability Letters. 78, 2234-2239.
Aly, EAA.; Benkherouf, L. (2011) A new family of distributions based on probability generating functions. Sankhya B. 73, 70-80.
Barlow, R. E.; Proschan, F. (1981), Statistical Theory of Reliability and Life Testing. Probability Models. To Begin With: Silver Springs, Maryland.
Batsidis, A.; Lemonte, A. J. (2015) On the Harris extended family of distributions. Statistics. 49, 1400-1421.
Bjerkedal, T. (1960) Acquisition of resistance in guinea pigs infected with different doses of virulent tubercle bacilli. American Journal of Epidemiology. 72, 130–148.
Cordeiro G. M.; Lemonte A. J.; Ortega E. M. M. (2014) The Marshall–Olkin family of distributions: mathematical properties and new Models Journal of Statistical Theory and Practice,8, 343–366.
Harris, TE. (1948) Branching processes. Annals of Mathematical Statistics. 19, 474-494.
Li X., Zhao P., (2011) On the mixture of proportional odds models. Communications in Statistics-Theory and Methods. 40, 333-344.
Lillo, R. E.; Nanda, A. K.; Shaked, M. (2001) Preservation of some likelihood ratio stochastic orders by order statistics. Statistics and Probability Letters. 51, 111-119.
Marshall, A. W.; Olkin, I. (1997) A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families. Biometrika. 84, 641-652.
Marshall, A. W.; Olkin, I. (2007) Life distributions: Structure of nonparametric, semiparametric, and parametric families. New York: Springer, Springer Series in Statistics.
Nanda, A. k.; Das, S. (2012), Stochastic orders of the Marshall–Olkin extended distribution. Statistics and Probability Letters. 82, 295-302.
Payandeh Najafabadi, A. T; Barmlzan, G. (2016) Stochastic Comparisons of Series and Parallel Systems with Het- erogeneous Extended Generalized Exponential Components. Journal of the Iranian Statistical Society (JIRSS). 15(1), 45-58.
Shaked, M.; Shanthikumar, J. G. (2007) Stochastic Orders. Academic Press, New York.
Volume 21, Issue 2
December 2022
Pages 217-231

  • Receive Date 09 March 2022
  • Revise Date 05 September 2022
  • Accept Date 22 August 2023