Abstract
In this paper, we establish the higher-order expansions of cumulative distribution function and probability density function of maximum from skew-normal distribution under power normalization. Numerical analysis are illustrated to support our findings.
Similar content being viewed by others
References
Azzalini A (1985) A calss of distributions which includes the normal ones. Scand J Stat 12:171–178
Azzalini A (2015) Package ‘sn’. http://azzalini.stat.unipd.it/SN
Barakat HM, Nigm EM, EI-Adll ME (2010) Comparison between the rates of convergence of extremes under linear and under power normalization. Stat Pap 51:149–164
Castro LCE (1987) Uniform rates of convergence in extreme-value theory. Normal and gamma models. Ann Sci Univ Clemont-Ferrand Sér Probab Appl 6:25–41
Chen S, Feng B (2014) Rates of convergence of extreme for STSD under power normalization. J Korean Stat Soc 43:609–619
Chen S, Wang C, Zhang G (2011) Rates of convergence of extreme for general error distribution under power normalization. Stat Probab Lett 82:385–395
Christoph G, Falk M (1996) A note on domains of attraction of \(p\)-max stable laws. Stat Probab Lett 28:279–284
Hall P (1979) On the rate of convergence of normal extremes. J Appl Probab 16:433–439
Liao X, Peng Z, Nadarajah S (2013) Asymptotic expansions for moments of skew-normal extremes. Stat Probab Lett 83:1321–1329
Liao X, Peng Z, Nadarajah S, Wang X (2014) Rates of convergence of extremes from skew normal samples. Stat Probab Lett 84:40–47
Mohan NR, Ravi S (1993) Max domains of attraction of univariate and multivariate \(p\)-max stable laws. Theory Probab Appl 37:632–643
Pancheva E (1985) Limit theorems for extreme order statistics under nonlinear normalization. Lect Notes Math 1155:284–309
Peng Z, Shuai Y, Nadarajah S (2013) On convergence of extremes under power normalization. Extremes 16:285–301
Subramanya UR (1994) On max domains of attraction of univariate \(p\)-max stable laws. Stat Probab Lett 19:271–279
Yang G, Li T (2015) Expansions on extremes from logarithmic general error distribution under power normalization. Stat Pap. doi:10.1007/s00362-015-0679-x
Acknowledgments
We would like to thank the referees for reading the paper and making helpful comments which greatly improved the original paper. This work was supported by the National Natural Science Foundation of China (11171275) and the Natural Science Foundation Project of CQ (cstc2012jjA00029), the Fundamental Research Funds for the Central Universities (XDJK2013C021) and the Doctoral Grant of Southwest University (SWU113012).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Jiang, S., Li, T. & Liao, X. Distributional expansions on extremes from skew-normal distribution under power normalization. Stat Papers 59, 1–20 (2018). https://doi.org/10.1007/s00362-016-0749-8
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00362-016-0749-8