A Nonparametric Monitoring Framework Based on Order Statistics and Multiple Scans: Advances and Applications in Ocean Engineering

Ioannis S. Triantafyllou ()
Additional contact information
Ioannis S. Triantafyllou: Department of Statistics and Insurance Science, University of Piraeus, 18534 Piraeus, Greece

Stats, 2025, vol. 8, issue 4, 1-16

Abstract: In this work, we introduce a statistical framework for monitoring the performance of a breakwater structure in reducing wave impact. The proposed methodology aims to achieve diligent tracking of the underlying process and the swift detection of any potential malfunctions. The implementation of the new framework requires the construction of appropriate nonparametric Shewhart-type control charts, which rely on order statistics and scan-type decision criteria. The variance of the run length distribution of the proposed scheme is investigated, while the corresponding mean value is determined. For illustration purposes, we consider a real-life application, which aims at evaluating the effectiveness of a breakwater structure based on wave height reduction and wave energy dissipation.

Keywords: nonparametric statistics; Shewhart-type control charts; ocean engineering; average run length; order statistics (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2571-905X/8/4/103/pdf (application/pdf)
https://www.mdpi.com/2571-905X/8/4/103/ (text/html)

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:gam:jstats:v:8:y:2025:i:4:p:103-:d:1785067

Access Statistics for this article

Stats is currently edited by Mrs. Minnie Li

More articles in Stats from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().