The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Maximum likelihood estimation: The best PEST
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Citations
Cites
Journal of the Royal Statistical Society.
(1923) · The Economic Journal · doi:10.1093/ej/33.130.269 · Cited by 3,219
The Staircase-Method in Psychophysics
Cornsweet, T. N. (1962) · The American Journal of Psychology · doi:10.2307/1419876 · Cited by 1,330
A Method for Obtaining and Analyzing Sensitivity Data
Dixon, W. J., & Mood, A. M. (1948) · Journal of the American Statistical Association · doi:10.1080/01621459.1948.10483254 · Cited by 1,268
PEST: Efficient Estimates on Probability Functions
Taylor, M. M., & Creelman, C. D. (1967) · The Journal of the Acoustical Society of America · doi:10.1121/1.1910407 · Cited by 1,173
Sequential Estimation of Quantal Response Curves
Wetherill, G. B. (1963) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1963.tb00481.x · Cited by 263
Estimates on probability functions: A more virulent PEST
Findlay, J. M. (1978) · Perception & Psychophysics · doi:10.3758/bf03208300 · Cited by 144
Cited by
Adaptive psychophysical procedures
Treutwein, B. (1995) · Vision Research · doi:10.1016/0042-6989(95)00016-s · Cited by 648
Cortical Networks Underlying Mechanisms of Time Perception
Harrington, D. L., Haaland, K. Y., & Knight, R. T. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-03-01085.1998 · Cited by 561
Bertone, A., Mottron, L., Jelenic, P., & Faubert, J. (2005) · Brain · doi:10.1093/brain/awh561 · Cited by 536
Perceptual issues in augmented reality revisited
Kruijff, E., Swan, J. E., & Feiner, S. (2010) · 2010 IEEE International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2010.5643530 · Cited by 489
King-Smith, P. E., Grigsby, S. S., Vingrys, A. J., Benes, S. C., & Supowit, A. (1994) · Vision Research · doi:10.1016/0042-6989(94)90039-6 · Cited by 437
Metadata
- Authors
- Pentland, A.
- Venue
- Perception & Psychophysics
- Published
- 1980-07
- Volume
- 28
- Issue
- 4
- Pages
- 377-379
- ISSN
- 0031-5117 (ISSN-L)
- 1532-5962
- OpenAlex
- W2092816272
- Cited by
- 288
- References
- 6
- FWCI
- 2.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Maximum likelihood estimation: The best PEST. https://app.cochat.ai/papers/10.3758/bf03204398
- The paper
- Pentland, A. (1980). Maximum likelihood estimation: The best PEST. Perception & Psychophysics. https://doi.org/10.3758/bf03204398
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.
