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Cited by 365

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Large-Sample Power of Tests Based on Permutations of Observations

Open access
Hoeffding, Wassily·1952·The Annals of Mathematical Statistics
DOI 10.1214/aoms/1177729436
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Abstract

The paper investigates the power of a family of nonparametric tests which includes those known as tests based on permutations of observations. Under general conditions the tests are found to be asymptotically (as the sample size tends to $\infty$) as powerful as certain related standard parametric tests. The results are based on a study of the convergence in probability of certain random distribution functions. A more detailed summary will be found at the end of the Introduction.

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Metadata

Authors
Hoeffding, W.
Venue
The Annals of Mathematical Statistics
Publisher
Institute of Mathematical Statistics
Published
1952-06
Volume
23
Issue
2
Pages
169-192
ISSN
0003-4851 (ISSN-L)
DOI
10.1214/aoms/1177729436
OpenAlex
W1981606737
Cited by
365
References
2
FWCI
2.82
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Large-Sample Power of Tests Based on Permutations of Observations. https://app.cochat.ai/papers/10.1214/aoms/1177729436
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Hoeffding, W. (1952). The Large-Sample Power of Tests Based on Permutations of Observations. The Annals of Mathematical Statistics. https://doi.org/10.1214/aoms/1177729436

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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.