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ON ASYMPTOTIC OF EXTREMES FROM GENERALIZED MAXWELL DISTRIBUTION

  • Huang, Jianwen (School of Mathematics and Statistics Southwest University) ;
  • Wang, Jianjun (School of Mathematics and Statistics Southwest University)
  • Received : 2016.06.23
  • Accepted : 2018.03.27
  • Published : 2018.05.31

Abstract

In this paper, with optimal normalized constants, the asymptotic expansions of the distribution and density of the normalized maxima from generalized Maxwell distribution are derived. For the distributional expansion, it shows that the convergence rate of the normalized maxima to the Gumbel extreme value distribution is proportional to 1/ log n. For the density expansion, on the one hand, the main result is applied to establish the convergence rate of the density of extreme to its limit. On the other hand, the main result is applied to obtain the asymptotic expansion of the moment of maximum.

Keywords

Acknowledgement

Supported by : Natural Science Foundation of China, Central Universities, GuangXi higher education key laboratory, Science and Technology Foundation of Guizhou Province, Guizhou province natural science foundation in China

References

  1. F. Al-Bender, V. Lampaert, and J. Swevers, The generalized Maxwell-slip model: a novel model for friction simulation and compensation, IEEE Trans. Automat. Control 50 (2005), no. 11, 1883-1887. https://doi.org/10.1109/TAC.2005.858676
  2. P. Asinari and I. V. Karlin, Generalized maxwell state and h theorem for computing fluid flows using the lattice boltzmann method, Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 79 (2009), 461-475.
  3. P. Hall, On the rate of convergence of normal extremes, J. Appl. Probab. 16 (1979), no. 2, 433-439. https://doi.org/10.2307/3212912
  4. J. Huang and S. Chen, Tail behavior of the generalized Maxwell distribution, Comm. Statist. Theory Methods 45 (2016), no. 14, 4230-4236. https://doi.org/10.1080/03610926.2014.917678
  5. F. Kapteijn, J. A. Moulijn, and R. Krishna, The generalized maxwell-stefan model for diffusion in zeolites: sorbate molecules with different saturation loadings, Chem. Eng. Sci. 55 (2000), 2923-2930. https://doi.org/10.1016/S0009-2509(99)00564-3
  6. S. Kumar and N. Chandra, Sequential test for the parameter of generalized Maxwell distribution, National J. Syst. Inf. Technol. 4 (2011), 1-10.
  7. V. Lampaert, F. Al-Bender, and J. Swevers, A generalized Maxwell-slip friction model appropriate for control purposes, Proceedings of the 2003 International Conference on Physics and Control 4 (2003), 1170-1177.
  8. F. Lin, Z. Peng, and K. Yu, Convergence rate of extremes for the generalized short-tailed symmetric distribution, Bull. Korean Math. Soc. 53 (2016), no. 5, 1549-1566. https://doi.org/10.4134/BKMS.b150804
  9. C. Liu and B. Liu, Convergence rate of extremes from Maxwell sample, J. Inequal. Appl. 2013 (2013), 477, 11 pp. https://doi.org/10.1186/1029-242X-2013-11
  10. K. A. Nair, Asymptotic distribution and moments of normal extremes, Ann. Probab. 9 (1981), no. 1, 150-153. https://doi.org/10.1214/aop/1176994515
  11. E. Omey, Rates of convergence for densities in extreme value theory, Ann. Probab. 16 (1988), no. 2, 479-486. https://doi.org/10.1214/aop/1176991768
  12. Z. Peng and S. Nadarajah, Convergence rates for the moments of extremes, Bull. Korean Math. Soc. 49 (2012), no. 3, 495-510. https://doi.org/10.4134/BKMS.2012.49.3.495
  13. Z. Peng, S. Nadarajah, and L. Fuming, Convergence rate of extremes for the general error distribution, J. Appl. Probab. 47 (2010), no. 3, 668-679. https://doi.org/10.1239/jap/1285335402
  14. A. Plucinska, On orthogonality properties of generalized Maxwell distribution, J. Appl. Statist. Sci. 7 (1998), no. 1, 1-6.
  15. S. I. Resnick, Extreme Values, Regular Variation, and Point Processes, Applied Probability. A Series of the Applied Probability Trust, 4, Springer-Verlag, New York, 1987.
  16. V. Gh. Voda, A modified Weibull hazard rate as generator of a generalized Maxwell distribution, Math. Rep. (Bucur.) 11(61) (2009), no. 2, 171-179.