Abstract
Estimators of the location and scale parameters are proposed for tails of distributions belonging to the Gumbel or Fréchet maximum domain of attraction using only higher order statistics of the sample. The related problem for the Gumbel domain of attraction is considered for the first time.
Similar content being viewed by others
References
J. Beirlant, C. Bouquiaux, and B. Werker, “Semiparametric lower bounds for tail-index estimation,” J. Statist. Plann. Inference, 136, No. 3, 705–729 (2006).
T. Beirlant, Y. Goegebeur, and J. Teugels, Statistics of Extremes. Theory and Applications, Wiley Ser. Probab. Stat., Wiley, London (2004).
T. Beirlant and J. L. Teugels, “Asymptotics of Hill’s estimator,” Theory Probab. Appl., 31, 463–469 (1986).
M. Berred, “Record values and the estimation of the Weibull tail-coefficient,” Compt. Rend. Acad. Sci., 312, No. 1, 943–946 (1991).
N. H. Bingham, C. M. Goldie, and J. L. Teugels, Regular Variation, Encycl. Math. Its Appl., Vol. 27, Cambridge Univ. Press, Cambridge (1987).
J. Diebolt, L. Gardes, S. Girard, and A. Guillou, “Bias-reduced estimators of the Weibull tail-coefficient,” Test, 17, 311–331 (2008).
H. Drees, A. Ferreira, and L. de Haan, “On maximum likelihood estimation of the extreme value index,” Ann. Appl. Probab., 14, 1179–1201 (2003).
H. Drees, L. de Haan, and D. Li, “Approximations to the tail empirical distribution function with application to testing extreme value conditions,” J. Statist. Plann. Inference, 136, No. 10, 3498–3538 (2006).
R. Elandt-Johnson and N. Johnson, Survival Models and Data Analysis, Wiley, New York (1999).
M. V. Fedoryuk, The Saddle Point Method [in Russian], Nauka, Moscow (1977).
M. I. Fraga Alves, M. I. Gomes, and L. de Haan, “A new class of semi-parametric estimators of the second order parameter,” Portugal. Math., 60, 193–213 (2003).
M. I. Fraga Alves, L. de Haan, and T. Lin, “Estimation of the parameter controlling the speed of convergence in extreme value theory,” Math. Methods Statist., 12, 155–176 (2003).
M. I. Fraga Alves, L. de Haan, and C. Neves, “A test procedure for detecting super-heavy tails,” J. Statist. Plann. Inference, 138, No. 2, 213–227 (2009).
L. Gardes, S. Girard, and A. Guillou, “Weibull tail-distributions revisited: a new look at some tail estimators,” J. Statist. Plann. Inference, 141, No. 4, 429–444 (2009).
B. V. Gnedenko, “Sur la distribution limite du terme maximum d’une serie aleatoire,” Ann. Math., 44, 423–453 (1943).
L. de Haan and A. Ferreira, Extreme Value Theory: An Introduction, Springer, Berlin (2006).
L. de Haan and S. Resnick, “Second-order regular variation and rates of convergence in extreme value theory,” Ann. Probab., 24, No. 1, 97–124 (1996).
L. de Haan and A. K. Sinha, “Estimating the probability of a rare event,” Ann. Statist., 27, 732–759 (1999).
P. Hall, “On some simple estimates of an exponent of regular variation,” J. Roy. Statist. Soc., Ser. B, 44, 37–42 (1982).
B. M. Hill, “A simple general approach to inference about the tail of a distribution,” Ann. Statist., 3, 1163–1174 (1975).
E. L. Kaplan and P. Meier, “Nonparametric estimation from incomplete observations,” J. Amer. Statist. Assn., 53, No. 282, 457–481 (1958).
M. J. Martins, Heavy Tails Estimation — Variants to the Hill Estimator, PhD Thesis, Univ. of Lisbon, Portugal (2000).
J. Pickands III, “Statistical inference using extreme order statistics,” Ann. Statist., 3, 119–131 (1975).
M. Rausand and A. Hoyland, System Reliability Theory: Models, Statistical Methods, and Applications, John Wiley & Sons, Hoboken (2004).
I. V. Rodionov, “Discrimination of close hypotheses about the distribution tails using higher order statistic,” Theory Probab. Its Appl., 63, No. 3, 364–380 (2019).
I. V. Rodionov, “Inferences on parametric estimation of distribution tails,” Dokl. Math., 100, No. 2, 456–458 (2019).
I. V. Rodionov, “On estimation of Weibull-tail and log-Weibull-tail distributions for modeling end-to-end delay,” in: Distributed Computer and Communication Networks, 22nd Int. Conf., DCCN 2019, Moscow, Russia, September 23–27, 2019, Revised Selected Papers, Commun. Comput. Inform. Sci., Vol. 1141, Springer, Berlin (2019), pp. 302–314.
R. L. Smith, “Estimating tails of probability distributions,” Ann. Statist., 15, 1174–1207 (1987).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Fundamentalnaya i Prikladnaya Matematika, Vol. 23, No. 1, pp. 25–49, 2020.
Rights and permissions
About this article
Cite this article
Akhtyamov, P.I., Rodionov, I.V. On Estimation of the Scale and Location Parameters of Distribution Tails. J Math Sci 262, 406–424 (2022). https://doi.org/10.1007/s10958-022-05824-w
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10958-022-05824-w