51579

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Глава в книге

Название: 

Modification of Moment-Based Tail Index Estimator: Sums versus Maxima

ISBN/ISSN: 

978-3-319-96941-1

DOI: 

10.1007/978-3-319-96941-1_10

Наименование источника: 

  • NONPARAMETRIC STATISTICS (Springer Proceedings in Mathematics & Statistics)

Город: 

  • Switzerland

Издательство: 

  • Springer International Publishing Switzerland

Год издания: 

2018

Страницы: 

85-102
Аннотация
In this paper we continue the investigation of the SRCEN estimator of the extreme value index $\gamma$ (or the tail index $\alpha=1/\gamma$) proposed in McElroy and Politis (2007) for $\gamma>1/2$. We propose a new estimator based on the local maximum. This, in fact, is a modification of the SRCEN estimator to the case $\gamma>0$. We establish the consistency and asymptotic normality of the newly proposed estimator for i.i.d. data. Also, a short discussion on the comparison of the estimators is included.

Библиографическая ссылка: 

Маркович Н.М., Вайсиулюс М.Р. Modification of Moment-Based Tail Index Estimator: Sums versus Maxima / NONPARAMETRIC STATISTICS (Springer Proceedings in Mathematics & Statistics). Switzerland: Springer International Publishing Switzerland, 2018. С. 85-102.