Multiple Window Scan Statistics for Two Dimensional Poisson Processes

Jie Chen and Joseph Glaz ()
Additional contact information
Jie Chen: University of Massachusetts Boston
Joseph Glaz: University of Connecticut

Methodology and Computing in Applied Probability, 2016, vol. 18, issue 4, 967-977

Abstract: Abstract In this article, approximations for the distribution of multiple window scan statistics for Poisson Processes on a two dimensional rectangular region are derived, for the conditional and unconditional model. These multiple window scan statistics are based on the minimum of p-values and repeated minimum p-values of fixed window scan statistics. Numerical results are presented to evaluate the performance of these multiple window scan statistics and compare their power with fixed window scan statistics for selected local type alternatives.

Keywords: Cluster detection; Minimum p-value statistic; Multiple scan statistic; Parametric bootstrap test statistic; Rectangular scanning window; Repeated minimum p-value statistic; 60G35; 60G55; 62E17; 62M30 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11009-016-9484-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:metcap:v:18:y:2016:i:4:d:10.1007_s11009-016-9484-9

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009

DOI: 10.1007/s11009-016-9484-9

Access Statistics for this article

Methodology and Computing in Applied Probability is currently edited by Joseph Glaz

More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().