Practical methods for computing power in testing the multivariate general linear hypothesis
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- Chunpeng Fan & Donghui Zhang & Cun-Hui Zhang, 2011. "On Sample Size of the Kruskal–Wallis Test with Application to a Mouse Peritoneal Cavity Study," Biometrics, The International Biometric Society, vol. 67(1), pages 213-224, March.
- Blair, Graeme & Cooper, Jasper & Coppock, Alexander & Humphreys, Macartan, 2019. "Declaring and Diagnosing Research Designs," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 113(3), pages 838-859.
- Steven E. Pav, 2014. "Bounds on Portfolio Quality," Papers 1409.5936, arXiv.org.
- I. M. Johnstone & B. Nadler, 2017. "Roy’s largest root test under rank-one alternatives," Biometrika, Biometrika Trust, vol. 104(1), pages 181-193.
- repec:jss:jstsof:30:i05 is not listed on IDEAS
- Kreidler, Sarah M. & Muller, Keith E. & Grunwald, Gary & Ringham, Brandy M. & Coker-Dukowitz, Zacchary T. & Sakhadeo, Uttara R. & Barón, Anna E. & Glueck, Deborah H., 2013. "GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i10).
- Gwowen Shieh, 2005. "Power and sample size calculations for multivariate linear models with random explanatory variables," Psychometrika, Springer;The Psychometric Society, vol. 70(2), pages 347-358, June.
- Bauer, Jan O. & Drabant, Bernhard, 2023. "Regression based thresholds in principal loading analysis," Journal of Multivariate Analysis, Elsevier, vol. 193(C).
- Michalis Skordoulis & Grigorios Kyriakopoulos & Stamatiοs Ntanos & Spyros Galatsidas & Garyfallos Arabatzis & Miltiadis Chalikias & Petros Kalantonis, 2022. "The Mediating Role of Firm Strategy in the Relationship between Green Entrepreneurship, Green Innovation, and Competitive Advantage: The Case of Medium and Large-Sized Firms in Greece," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
- Johnson, Jacqueline L. & Muller, Keith E. & Slaughter, James C. & Gurka, Matthew J. & Gribbin, Matthew J. & Simpson, Sean L., 2009. "POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i05).
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