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Author:

Zhao Xu (Zhao Xu.) | Cheng Weihu (Cheng Weihu.) (Scholars:程维虎)

Indexed by:

CPCI-SSH

Abstract:

The generalized Pareto distribution (GPD) is one of the most important distributions in statistics analysis. Firstly, we give parameters estimation method for the three parameters GPD based on trimmed generalized probability weighted moments (TGPWM). In addition, we study threshold selection to test the exceedances over the threshold whether follow the GPD based on TGPWM. The proposed estimation method is easy to apply and has high accuracy under Monte-Carlo simulation tests. Key words: Generalized Pareto distribution, Trimmed generalized probability weighted moments,

Keyword:

Monte-Carlo simulation Generalized Pareto distribution Probability weighted moments estimation Trimmed generalized probability weighted moments Threshold

Author Community:

  • [ 1 ] [Zhao Xu]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Cheng Weihu]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

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Source :

RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, PTS 1 AND 2

Year: 2011

Page: 1328-1332

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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