The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Tests of the Hypothesis That a Linear Regression System Obeys Two Separate Regimes
Abstract
Several approaches are explored for testing the hypothesis that no switch has occurred in the true values of the parameters of a linear regression system. The distribution of the relevant likelihood ratio λ is analyzed on the basis of the empirical distribution resulting from some sampling experiments. The hypothesis that −2 log λ has the χ2 distribution with the appropriate degrees of freedom is rejected and an empirical table of percentage points is obtained. Finally some small sample tests are suggested.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Use of Ranks in One-Criterion Variance Analysis
Kruskal, W. H., & Wallis, W. A. (1952) · Journal of the American Statistical Association · doi:10.1080/01621459.1952.10483441 · Cited by 13,912
Some Methods for Strengthening the Common χ 2 Tests
Cochran, W. G. (1954) · Biometrics · doi:10.2307/3001616 · Cited by 3,718
Cited by
Detection of Abrupt Changes: Theory and Application
Riedel, K. S. (1994) · Technometrics · doi:10.1080/00401706.1994.10485821 · Cited by 3,518
Brown, S. J., & Goetzmann, W. N. (1997) · Journal of Financial Economics · doi:10.1016/s0304-405x(96)00898-7 · Cited by 474
Learning and the disappearing association between governance and returns
Bebchuk, L. A., Cohen, A., & Wang, C. C. Y. (2013) · Journal of Financial Economics · doi:10.1016/j.jfineco.2012.10.004 · Cited by 311
Jayachandran, S., Lleras-Muney, A., & Smith, K. V. (2010) · American Economic Journal: Applied Economics · doi:10.1257/app.2.2.118 · Cited by 230
Allen, P. G., & Fildes, R. (2001) · International Series in Operations Research & Management Science · doi:10.1007/978-0-306-47630-3_15 · Cited by 85
Metadata
- Authors
- Quandt, R. E.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1960-06
- Volume
- 55
- Issue
- 290
- Pages
- 324-330
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2036151776
- Cited by
- 1,178
- References
- 2
- FWCI
- 2.11
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Tests of the Hypothesis That a Linear Regression System Obeys Two Separate Regimes. https://app.cochat.ai/papers/10.1080/01621459.1960.10482067
- The paper
- Quandt, R. E. (1960). Tests of the Hypothesis That a Linear Regression System Obeys Two Separate Regimes. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1960.10482067
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
