EconPapers    
Economics at your fingertips  
 

A bootstrap goodness of fit test for the generalized Pareto distribution

José A. Villaseñor-Alva and Elizabeth González-Estrada

Computational Statistics & Data Analysis, 2009, vol. 53, issue 11, 3835-3841

Abstract: This paper proposes a bootstrap goodness of fit test for the Generalized Pareto distribution (GPd) with shape parameter [gamma]. The proposed test is an intersection-union test which tests separately the cases of [gamma]>=0 and [gamma]

Keywords: Intersection-union; tests; Parametric; bootstrap; Parameter; estimation; Asymptotic; maximum; likelihood; estimation; Ozone; data (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-9473(09)00140-6
Full text for ScienceDirect subscribers only.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:53:y:2009:i:11:p:3835-3841

Access Statistics for this article

Computational Statistics & Data Analysis is currently edited by S.P. Azen

More articles in Computational Statistics & Data Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:csdana:v:53:y:2009:i:11:p:3835-3841