A new test for tail index with application to Danish fire loss data
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Journal / Publication | Journal of Statistical Computation and Simulation |
Online published | 21 Jul 2021 |
Publication status | Online published - 21 Jul 2021 |
Link(s)
DOI | DOI |
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Document Link | |
Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85111164840&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(0115443f-406d-4b83-810d-1e7bb9f31a63).html |
Abstract
The conditional approach of Hill's estimator depends on a threshold choice. This may give different results in a statistical test when different thresholds are used. Motivated by the uniformly most powerful test, this article proposes a new test for heavy tail of various degrees. Simulation shows that the test is applicable and its power is superior to three existing methods in the literature. An example of the Danish fire loss data elucidates the inconsistent conclusion in existing statistical tests and demonstrates the consistent conclusion the proposed test leads to. A new and affirmative insight into the data is that the variance does not exist.
Research Area(s)
- Order statistics, sequential method, Pareto tail, tail index, threshold, SAMPLE FRACTION, EXTREME, BOOTSTRAP, THRESHOLD, INFERENCE
Citation Format(s)
A new test for tail index with application to Danish fire loss data. / Wong, Tony S. T.; Li, W. K.
In: Journal of Statistical Computation and Simulation, 21.07.2021.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review