The simultaneous assessment of normality and homoscedasticity in linear fixed effects models
Author:
Affiliation:
1. Department of Mathematics and Statistics, University of Maryland Baltimore County, Baltimore, Maryland, USA
Funder
U.S. National Science Foundation MRI program
U.S. National Science Foundation SCREMS program
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/15598608.2017.1320243
Reference19 articles.
1. Data
2. Data Driven Smooth Tests for Bivariate Normality
3. A revisit to test the equality of variances of several populations
4. Asymptotic optimality of data-driven Neyman's tests for uniformity
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