51579

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.