Statistical Tests Based on Permutations of the Observations
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In the scenario of large-scale problems, the distribution of eigenvalues tends to converge to a normal distribution.
“In the scenario of large-scale problems, the distribution of eigenvalues tends to converge to a normal distribution 42 .”
From Toward a linear-ramp QAOA protocol: evidence of a scaling advantage in solving some combinatorial optimization problems (2025) · cites this paper as [42]
The paper describes normal limiting distributions for permutation statistics and joint distributions of variates (Columbia University, pp. 12–14), not for eigenvalues. A search for eigenvalues and matrix characteristic roots found no passage addressing the claimed eigenvalue distribution. (LLM, conf=0.76)
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- Authors
- Wald, A., & Wolfowitz, J.
- Venue
- The Annals of Mathematical Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1944-12
- Volume
- 15
- Issue
- 4
- Pages
- 358-372
- ISSN
- 0003-4851 (ISSN-L)
- OpenAlex
- W2038298134
- Cited by
- 260
- References
- 4
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 4 · 2023: 7 · 2022: 2 · 2021: 8 · 2020: 6 · 2019: 8 · 2018: 6 · 2017: 3 · 2016: 5 · 2015: 8 · 2014: 18 · 2013: 4 · 2012: 18
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Annals of Mathematical Statistics (publishedVersion)
- Project Euclid (Cornell University) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- permutation tests, nonparametric tests, rank tests, asymptotic distribution, asymptotic normality, asymptotic efficiency
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