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Cited by 1,156

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance

Inclán, Carla, Tiao, George C.·1994·Journal of the American Statistical Association

Abstract

This article studies the problem of multiple change points in the variance of a sequence of independent observations. We propose a procedure to detect variance changes based on an iterated cumulative sums of squares (ICSS) algorithm. We study the properties of the centered cumulative sum of squares function and give an intuitive basis for the ICSS algorithm. For series of moderate size (i.e., 200 observations and beyond), the ICSS algorithm offers results comparable to those obtained by a Bayesian approach or by likelihood ratio tests, without the heavy computational burden required by these approaches. Simulation results comparing the ICSS algorithm to other approaches are presented.

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Crossref · 10.1080/01621459.1994.10476824

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Metadata

Authors
Inclán, C., & Tiao, G. C.
Venue
Journal of the American Statistical Association
Published
1994-09
Volume
89
Issue
427
Pages
913-923
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W2075304461
Cited by
1,156
References
21
FWCI
3.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance. https://app.cochat.ai/papers/10.1080/01621459.1994.10476824
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Inclán, C., & Tiao, G. C. (1994). Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1994.10476824

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

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