Takahashi, Rinya Normalizing constants of a distribution which belongs to the domain of attraction of the Gumbel distribution. (English) Zbl 0617.62050 Stat. Probab. Lett. 5, 197-200 (1987). The author develops methods of computing the normalizing constants for an extreme to have a limiting distribution. One particular method is based on tail equivalence. See also J. Villasenor [Bull. Int. Stat. Inst. Contrib. Papers, 43rd Session, Buenos Aires (1981)] and pp. 64-65 and p. 158 in the reviewer’s book ”The asymptotic theory of extreme order statistics.” 2nd ed. Krieger, Melbourne, Fa, (1987; see Zbl 0381.62039 for a review of the first edition). Reviewer: J.Galambos Cited in 6 Documents MSC: 62G30 Order statistics; empirical distribution functions 60F05 Central limit and other weak theorems Keywords:domain of attraction of the Gumbel distribution; inverse Gaussian; gamma; normal; lognormal; von Mises theorem; computing the normalizing constants; tail equivalence Citations:Zbl 0381.62039 PDF BibTeX XML Cite \textit{R. Takahashi}, Stat. Probab. Lett. 5, 197--200 (1987; Zbl 0617.62050) Full Text: DOI References: [1] David, H. A., Order Statistics (1970), Wiley: Wiley New York · Zbl 0223.62057 [2] Galambos, J., The Asymptotic Theory of Extreme Order Statistics (1978), Wiley: Wiley New York · Zbl 0381.62039 [3] Gumbel, E. J., Statistics of Extremes (1958), Columbia University Press: Columbia University Press New York · Zbl 0086.34401 [4] Haan, L.de, (On Regular Variation and its Application to the Weak Convergence of Sample Extremes, Vol. 32 (1970), Mathematical Centre Tracts: Mathematical Centre Tracts Amsterdam) [5] Resnick, S. I., Tail equivalence and its applications, J. Appl. Prob., 8, 136-156 (1971) · Zbl 0217.49903 [6] Singpurwalla, N. D., Extreme values from a lognormal law with applications to air pollution problems, Technometrics, 14, 703-711 (1972) · Zbl 0237.62016 [7] Takahashi, R., Remark on stabilizing constants of the extreme statistic, J. Japan Statist. Soc., 9, 79-86 (1979) This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.