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Distributional expansion of maximum from logarithmic general error distribution

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Abstract

Logarithmic general error distribution is an extension of lognormal distribution. In this paper, with optimal norming constants the higher-order expansion of distribution of partial maximum of logarithmic general error distribution is derived.

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References

  1. P Hall. On the rate of convergence of normal extrems, J Appl Probab, 1979, 16: 433–439.

    Article  MathSciNet  MATH  Google Scholar 

  2. D Kortschak, E Hashorva. Efficient simulation of tail probabilities for sums of log-elliptical risks, J Comput Appl Math, 2013, 247: 53–67.

    Article  MathSciNet  MATH  Google Scholar 

  3. MR Leadbetter, G Lindgren, H Rootzén. Extremes and Related Properties of Random Sequences and Processed, Springer Verlag, New York, 1983.

    Book  MATH  Google Scholar 

  4. X Liao, ZX Peng. Convergence rates of limit distribution of maxima of lognormal samples, J Math Anal Appl, 2012, 395: 643–653.

    Article  MathSciNet  MATH  Google Scholar 

  5. X Liao, ZX Peng, S Nadarajah. Tail behavior and limit distribution of maximum of logarithmic general error distribution, Comm Statist Theory Methods, 2014a, 43: 5276–5289.

    Article  MathSciNet  MATH  Google Scholar 

  6. X Liao, ZX Peng, S Nadarajah. Tail properties and asymptotic expansions for the maximum of the logarithmic skew-normal distribution, J Appl Probab, 2013a, 50: 900–907.

    Article  MathSciNet  MATH  Google Scholar 

  7. X Liao, ZX Peng, S Nadarajah. Asymptotic expansions for moments of skew-normal extremes, Statist Probab Lett, 2013b, 83: 1321–1329.

    Article  MathSciNet  MATH  Google Scholar 

  8. X Liao, ZX Peng, S Nadarajah, XQ Wang. Rates of convergence of extremes from skew-normal samples, Statist Probab Lett, 2014b, 84: 40–47.

    Article  MathSciNet  MATH  Google Scholar 

  9. T Mikosch, AV Nagaev. Large deviations of heavy-tailed sums with applications in insurance, Extremes, 1998, 1: 81–110.

    Article  MathSciNet  MATH  Google Scholar 

  10. KA Nair. Asymptotic distribution and moments of normal extremes, Ann Probab, 1981, 9: 150–153.

    Article  MathSciNet  MATH  Google Scholar 

  11. DB Nelson. Conditional heteroskedasticity in asset returns: a new approach, Econometrica, 1991, 59: 347–370.

    Article  MathSciNet  MATH  Google Scholar 

  12. ZX Peng, S Nadarajah, FM Lin. Convergence rate of extremes for the general error distribution, J Appl Probab, 2010, 47: 668–679.

    Article  MathSciNet  MATH  Google Scholar 

  13. S I Resnick. Extreme Values, Regular Variation and Point Processes, Springer Verlag, New York, 1987.

    Chapter  Google Scholar 

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Correspondence to Xin Liao.

Additional information

Supported by the National Natural Science Foundation of China (11171275), the Natural Science Foundation Project of CQ(cstc2012jjA00029) and the Doctoral Grant of University of Shanghai for Science and Technology (BSQD201608).

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Yang, G., Liao, X. & Peng, Zx. Distributional expansion of maximum from logarithmic general error distribution. Appl. Math. J. Chin. Univ. 31, 157–164 (2016). https://doi.org/10.1007/s11766-016-3275-5

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  • DOI: https://doi.org/10.1007/s11766-016-3275-5

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