The DOI matches its Crossref record.
An Analysis of Variance Test for Normality (Complete Samples)
Abstract
S. S. SHAPIRO, M. B. WILK; An analysis of variance test for normality (complete samples)†, Biometrika, Volume 52, Issue 3-4, 1 December 1965, Pages 591–611
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“The distribution approximates a normal distribution as the null hypothesis is not rejected (p=0.515) in the Shapiro-Wilk test of normality [84].”
From Predicting Brain Functional Connectivity Using Mobile Sensing (2020) · cites this paper as [84]
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Metadata
- Authors
- Shapiro, S. S., & Wilk, M. B.
- Affiliations
- General Electric (United States) (US)
- Venue
- Biometrika
- Publisher
- JSTOR
- Published
- 1965-12
- Volume
- 52
- Issue
- 3/4
- Pages
- 591
- ISSN
- 0006-3444 (ISSN-L)
- OpenAlex
- W2168745915
- Cited by
- 23,469
- References
- 0
- Citations by year
- 2026: 2085 · 2025: 2075 · 2024: 1771 · 2023: 1642 · 2022: 1600 · 2021: 1571 · 2020: 1447 · 2019: 1121 · 2018: 979 · 2017: 867 · 2016: 836 · 2015: 762 · 2014: 740 · 2013: 621 · 2012: 525
- FWCI
- 10.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biometrika (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- normality testing, Shapiro-Wilk test, analysis of variance, complete samples, multivariate normality, goodness-of-fit tests
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