The DOI matches its Crossref record.
Testing Statistical Hypothesis.
Abstract
Testing statistical hypothese , Testing statistical hypothese , کتابخانه دیجیتال جندی شاپور اهواز
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
Cited by
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use
Iyengar, S., & Hahn, K. S. (2009) · Journal of Communication · doi:10.1111/j.1460-2466.2008.01402.x · Cited by 1,940
A Conditional Likelihood Ratio Test for Structural Models
Moreira, M. J. (2003) · Econometrica · doi:10.1111/1468-0262.00438 · Cited by 796
Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing
Kohavi, R., Tang, D., & Xu, Y. (2020) · doi:10.1017/9781108653985 · Cited by 297
Dynamical modeling and multi-experiment fitting with PottersWheel
Maiwald, T., & Timmer, J. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn350 · Cited by 231
Hjorth, M., Hellquist, L., Holmberg, E., Magnusson, B., Rödjer, S., & Westin, J. (1993) · European Journal of Haematology · doi:10.1111/j.1600-0609.1993.tb00148.x · Cited by 220
Saa, P. A., & Nielsen, L. K. (2017) · Biotechnology Advances · doi:10.1016/j.biotechadv.2017.09.005 · Cited by 166
Simultaneous Confidence Regions for Impulse Responses
Jordà, Ò. (2009) · Review of Economics and Statistics · doi:10.1162/rest.91.3.629 · Cited by 121
Significance testing in empirical finance: a critical review and assessment
Kim, J. H., & Ji, P. I. (2015) · Journal of Empirical Finance · doi:10.1016/j.jempfin.2015.08.006 · Cited by 86
Chang, H. C., Chang, J. J., Chan, S. H., Huang, A. H., Wu, T. L., Lin, M. C., & Chang, T. C. (2001) · Journal of Clinical Microbiology · doi:10.1128/jcm.39.4.1328-1333.2001 · Cited by 48
Metadata
- Authors
- Crouse, C. F., & Lehmann, E. L.
- Venue
- Biometrika
- Publisher
- JSTOR
- Published
- 1960-06
- Volume
- 47
- Issue
- 1/2
- Pages
- 210
- ISSN
- 0006-3444 (ISSN-L)
- OpenAlex
- W2011077222
- Cited by
- 745
- References
- 0
- FWCI
- 4.93
- 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 ›
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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.
