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The Probable Error of a Mean
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“A t-test (Student, 1908) and effect size analysis (Cohen, 1988) (p-value=1.60e-4, Cohen's d=0.9851), as shown in Figure 3, reveal statistically significant differences between these two categories, with the non-parametric subset showing much greater variability.”
From Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language Models (2024) · cites this paper as Student, 1908
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Items 1,001–1,020 of 1,020
The Method of Finite Difference Regression
Banerjee, A. (2018) · Open Journal of Statistics · doi:10.4236/ojs.2018.81005 · Cited by 2
Pattern Formation in Microemulsions Affected by Electric Fields
Pfeiffer, P., & Müller, S. C. (2017) · Springer eBooks · doi:10.1007/978-3-319-64334-2_10 · Cited by 2
Data Scatter and Statistical Considerations
Milella, P. P. (2012) · Springer eBooks · doi:10.1007/978-88-470-2336-9_4 · Cited by 2
Destruction of normal distribution in small samples by centering and scaling
Tóth, G. (2011) · Journal of Chemometrics · doi:10.1002/cem.1382 · Cited by 2
Predictive analysis of engine health for decision support
Mukherjee, S., Varde, A. S., Javidi, G., & Sheyban, E. (2014) · ACM SIGKDD Explorations Newsletter · doi:10.1145/2641190.2641197 · Cited by 2
Barnard, E., & Timson, D. J. (2011) · Journal of Basic Microbiology · doi:10.1002/jobm.201000198 · Cited by 2
Camembert Cheese from Pasteurized Milk
Hochstrasser, W., & Price, W. V. (1927) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(27)93862-4 · Cited by 2
Schreiber, F. (1987) · Springer eBooks · doi:10.1007/978-1-4613-1885-9_43 · Cited by 2
Difference-based estimation of support friction
Walker, S., & Salisbury, J. K. (2008) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2008.4650806 · Cited by 2
Weißleder, S. (2011) · Asia-Pacific Conference on Quality Software (APAQS) · doi:10.1109/qsic.2011.38 · Cited by 2
Scandizzo, S. (2016) · Palgrave Macmillan UK eBooks · doi:10.1057/9781137436962_6 · Cited by 2
A decomposition of the Bradley–Blackwood paired-samples omnibus test
Hayes, K., O’Brien, K., & Kinsella, A. (2016) · Communication in Statistics- Theory and Methods · doi:10.1080/03610926.2016.1222439 · Cited by 2
Fitting Two-Variable Datasets with Bivariate Errors
Bonamente, M. (2016) · Graduate texts in physics · doi:10.1007/978-1-4939-6572-4_12 · Cited by 2
Wang, H., Singanamalli, A., Ginsburg, S. B., & Madabhushi, A. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10443-0_49 · Cited by 2
Estimating Interval of the Number of Errors for Embedded Software Development Projects
Iwata, K., Nakashima, T., Anan, Y., & Ishii, N. (2014) · IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) · doi:10.1109/iiai-aai.2014.129 · Cited by 2
Improving the HBDT framework fusing HR and VHR SAR and optical data for image classification
Iannelli, G. C., & Gamba, P. E. (2017) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2017.8128243 · Cited by 2
Syed, A. H., & Khan, T. (2019) · International Journal of ADVANCED AND APPLIED SCIENCES · doi:10.21833/ijaas.2019.10.011 · Cited by 2
(1998) · Data handling in science and technology · doi:10.1016/s0922-3487(97)80031-7 · Cited by 2
Rahlf, T. (2019) · Springer eBooks · doi:10.1007/978-3-030-00181-0_16 · Cited by 2
Acupuncture for chronic hepatitis B
Kong, D. Z., Liang, N., Yang, G. L., Zhang, Z., Liu, Y., Yang, Y., Liu, Y. X., Wang, Q. G., Zhang, F., Zhang, H. Y., et al. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013107 · Cited by 2
Metadata
- Authors
- Student
- Corresponding author
- Student
- Venue
- Biometrika
- Publisher
- JSTOR
- Published
- 1908-03
- Volume
- 6
- Issue
- 1
- Pages
- 1
- ISSN
- 0006-3444 (ISSN-L)
- OpenAlex
- W4205110562
- Cited by
- 1,363
- References
- 0
- Citations by year
- 2026: 40 · 2025: 40 · 2024: 85 · 2023: 38 · 2022: 40 · 2021: 37 · 2020: 32 · 2019: 78 · 2018: 99 · 2017: 79 · 2016: 98 · 2015: 73 · 2014: 64 · 2013: 40 · 2012: 50
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biometrika (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- probable error, mean, sampling error, standard errors, confidence limits
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 ›
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