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Cited by 580

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Sequential Changepoint Detection in Quality Control and Dynamical Systems

Lai, Tze Leung·1995·Journal of the Royal Statistical Society Series B: Statistical Methodology

Abstract

SUMMARY: After a brief survey of a large variety of sequential detection procedures that are widely scattered in statistical references on quality control and engineering references on fault detection and signal processing, we study some open problems concerning these procedures and introduce a unified theory of sequential changepoint detection. This theory leads to a class of sequential detection rules which are not too demanding in computational and memory requirements for on-line implementation and yet are nearly optimal under several performance criteria.

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Crossref · 10.1111/j.2517-6161.1995.tb02052.x

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Metadata

Authors
Lai, T. L.
Venue
Journal of the Royal Statistical Society Series B: Statistical Methodology
Published
1995-11-01
Volume
57
Issue
4
Pages
613-644
ISSN
  • 1369-7412 (ISSN-L)
  • 1467-9868
OpenAlex
W2518887247
Cited by
580
References
77
FWCI
7.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sequential Changepoint Detection in Quality Control and Dynamical Systems. https://app.cochat.ai/papers/10.1111/j.2517-6161.1995.tb02052.x
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Lai, T. L. (1995). Sequential Changepoint Detection in Quality Control and Dynamical Systems. Journal of the Royal Statistical Society Series B: Statistical Methodology. https://doi.org/10.1111/j.2517-6161.1995.tb02052.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.