An Analysis of Variance Test for Normality (Complete Samples)
By S. Shapiro, M. Wilk. 1965
Subfields: Statistics and Probability
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In Statistics and Probability
- Salvador Garcia
- J. S. Roberts
- Joaquín Derrac
- Alberto Fernández
- Julián Luengo
- P. Farrell
- Jay D. Martin
- Eustasio del Barrio
Citations in the corpus
- QLoRA: Efficient Finetuning of Quantized LLMs (2023, background): “What is the secret word?”
- The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing (2018, methodology): “For example, the Shapiro-Wilk test (Shapiro and Wilk, 1965) tests the null hypothesis that a sample comes from a normally distributed population, the Kolmogorov-Smirnov test quantifies the distance between the empirical distribution function of the sample and the cumulative distribution function of ”
- The Effects of Bilateral Tax Treaties on U.S. FDI Activity (2004, methodology): “While our modifications to the CMM framework eliminates systematic trends in our residuals for rich and poor countries, a Shapiro and Wilk (1965) test for normality of the residuals continues to reject the null hypothesis of normality.”
- Power comparisons of Shapiro-Wilk , Kolmogorov-Smirnov , Lilliefors and Anderson-Darling tests (2011, methodology): “Shapiro and Wilk (1965) test was originally restricted for sample size of less than 50.”
- Exclusion techniques reveal significant biotic mortality suffered by Asian citrus psyllid Diaphorina citri (Hemiptera: Psyllidae) populations in Florida citrus (2009, methodology): “Data were analyzed for normality using the Shaprio-Wilk W test and normality plots using the univariate procedure (Shapiro and Wilk, 1965; Shapiro et al., 1968; SAS Institute, 2004).”
- Evaluation of a nutrient starvation model of Mycobacterium tuberculosis persistence by gene and protein expression profiling (2002, methodology): “to test the assumption of normality for each gene (Shapiro and Wilk, 1965).”
- Phytoplankton primary production in the world's estuarine-coastal ecosystems (2013, methodology): “3, 4; Shapiro– Wilk testW = 0.780,p < 0.0001; Shapiro and Wilk, 1965), so we used the ratio of median absolute deviation (MAD) to median APPP as a robust index of dispersion (Ruppert, 2011) that can be compared within and between ecosystems.”
- Trade-offs across value-domains in ecosystem services assessment. (2014, methodology): “Finally, we used the hapiro–Wilk test to check normality (Shapiro and Wilk, 1965).”
- Macroscopic and Histological Characterisation of Genes er1 and er2 for Powdery Mildew Resistance in Pea (2006, methodology): “were checked using Shapiro–Wilk s (Shapiro and Wilk, 1965) and Bartlett s tests (Little and Hills, 1972) respectively.”
- Real-time bidding for online advertising: measurement and analysis (2013, unknown): “There were less than 1% accepted by either the Shapiro-Wilk test [26] or the Anderson-Darling test [4], regardless of the number of bidders or impressions in that hour.”
- The Influence of Environmental Variables on the Distribution and Abundance of Three Elasmobranchs in Tomales Bay, California (2003, methodology): “Normality of the final model residuals was tested using a Shapiro-Wilk statistic (Shapiro & Wilk 1965), and a normal scores plot (Neter et al. 1985).”
- Atlasing location, asymmetry and inter-subject variability of white matter tracts in the human brain with MR diffusion tractography (2011, unknown): “In our analysis Gaussian distribution of the data was confirmed for three voxels along the inferior frontooccipital fasciculus using the Shapiro–Wilk test (Shapiro and Wilk, 1965).”
- KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework (2011, methodology): “5x2cv-f test [11] Approximate f statistical test for 5x2 cross validation T test [9] Statistical test based on the Student’s t distribution F test [25] Statistical test based on the Snedecor’s F distribution Shapiro-Wilk test [40] Variance test for normality Mann-Whitney U test [27] U statistical te”