The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Fisher, Neyman-Pearson Theories of Testing Hypotheses: One Theory or Two?
Abstract
The Fisher and Neyman-Pearson approaches to testing statistical hypotheses are compared with respect to their attitudes to the interpretation of the outcome, to power, to conditioning, and to the use of fixed significance levels. It is argued that despite basic philosophical differences, in their main practical aspects the two theories are complementary rather than contradictory and that a unified approach is possible that combines the best features of both. As applications, the controversies about the Behrens-Fisher problem and the comparison of two binomials (2 × 2 tables) are considered from the present point of view.
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Cites
Cox, D. R., & Hinkley, D. V. (1974) · doi:10.1007/978-1-4899-2887-0 · Cited by 3,089
Multiple Comparison Procedures
Hochberg, Y., & Tamhane, A. C. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316672 · Cited by 2,389
Some Problems Connected with Statistical Inference
Cox, D. R. (1958) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177706618 · Cited by 536
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Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009) · Psychonomic Bulletin & Review · doi:10.3758/pbr.16.2.225 · Cited by 3,688
Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars
Mayo, D. G. (2018) · doi:10.1017/9781107286184 · Cited by 376
Klein, K., & Martinez, L. F. (2023) · Electronic Commerce Research · doi:10.1007/s10660-022-09562-8 · Cited by 180
Meyners, M. (2012) · Food Quality and Preference · doi:10.1016/j.foodqual.2012.05.003 · Cited by 130
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Metadata
- Authors
- Lehmann, E. L.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1993-12
- Volume
- 88
- Issue
- 424
- Pages
- 1242-1249
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W4240765891
- Cited by
- 382
- References
- 3
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- closed
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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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