The optimal CUSUM control chart with a dynamic non-random control limit and a given sampling strategy for small samples sequence.

Change-point detection optimal CUSUM chart sampling strategy small samples

Journal

Journal of applied statistics
ISSN: 0266-4763
Titre abrégé: J Appl Stat
Pays: England
ID NLM: 9883455

Informations de publication

Date de publication:
2024
Historique:
medline: 6 1 2023
pubmed: 6 1 2023
entrez: 25 3 2024
Statut: epublish

Résumé

This article proposes a performance measure to evaluate the detection performance of a control chart with a given sampling strategy for finite or small samples sequence and prove that the CUSUM control chart with dynamic non-random control limit and a given sampling strategy can be optimal under the measure. Numerical simulations and real data for an earthquake are provided to illustrate that for different sampling strategies, the CUSUM chart will have different monitoring performance in change-point detection. Among the six sampling strategies that take only a part of samples, the numerical comparing results illustrate that the uniform sampling strategy (uniformly dispersed sampling strategy) has the best monitoring effect.

Identifiants

pubmed: 38524791
doi: 10.1080/02664763.2022.2162863
pii: 2162863
pmc: PMC10956936
doi:

Types de publication

Journal Article

Langues

eng

Pagination

809-825

Informations de copyright

© 2023 Informa UK Limited, trading as Taylor & Francis Group.

Déclaration de conflit d'intérêts

No potential conflict of interest was reported by the author(s).

Auteurs

Dong Han (D)

Department of Statistics, Shanghai Jiao Tong University, Shanghai, People's Republic of China.

Fugee Tsung (F)

Department of Industrial Engineering and Logistics Management, Hong Kong University of Science and Technology, Hong Kong, People's Republic of China.

Lei Qiao (L)

School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance Shanghai, Shanghai, People's Republic of China.

Classifications MeSH