IMI-BAS BAS
 

BulDML at Institute of Mathematics and Informatics >
IMI >
IMI Periodicals >
Pliska Studia Mathematica Bulgarica >
2009 Volume 19 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2231

Title: Early Detection of Emergent Events Based on an Extremal Process Approach
Authors: Jacob, Christine
Khraibani, Zaher
Pancheva, Elisaveta
Keywords: Extremal process
records
point process
renewal process
sporadic
emergence
Issue Date: 2009
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Pliska Studia Mathematica Bulgarica, Vol. 19, No 1, (2009), 157p-172p
Abstract: We explore a real renewal process representing the successive arrival times of some event (ex.: clinical case of an infectious disease). We wish to test that the first observed events are sporadic, and not emergent. We also compare this distribution to the one got under the independency of standard setting. We finally illustrate this approach by testing on the first observations of a simulation of a slowly emergent phenomenon that this phenomenon is a sporadic one, and we show that the statistic based on the extremal process is much more efficient and robust than the statistic based on the record values.
Description: 2000 Mathematics Subject Classification: Primary 60G70, 62F03.
URI: http://hdl.handle.net/10525/2231
ISSN: 0204-9805
Appears in Collections:2009 Volume 19

Files in This Item:

File Description SizeFormat
Pliska-19-2009-157-172.pdf1.2 MBAdobe PDFView/Open

 



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0!   Creative Commons License