Local influence in principal component analysis: relationship between the local influence and influence function approaches revisited
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Bibliographic InfoArticle provided by Elsevier in its journal Computational Statistics & Data Analysis.
Volume (Year): 44 (2003)
Issue (Month): 1-2 (October)
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Web page: http://www.elsevier.com/locate/csda
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- Wai-Yin Poon & Shu-Jia Wang & Sik-Yum Lee, 1999. "Influence analysis of structural equation models with polytomous variables," Psychometrika, Springer, vol. 64(4), pages 461-473, December.
- Jung, Kang-Mo & Kim, Myung Geun & Kim, Byung Chun, 1997. "Local influence in maximum likelihood factor analysis," Computational Statistics & Data Analysis, Elsevier, vol. 24(4), pages 483-491, June.
- Sik-Yum Lee & S. Wang, 1996. "Sensitivity analysis of structural equation models," Psychometrika, Springer, vol. 61(1), pages 93-108, March.
- Shu-Jia Wang & Sik-Yum Lee, 1996. "Sensitivity analysis of structural equation models with equality functional constraints," Computational Statistics & Data Analysis, Elsevier, vol. 23(2), pages 239-256, December.
- Yutaka Tanaka & Yoshimasa Odaka, 1989. "Influential observations in principal factor analysis," Psychometrika, Springer, vol. 54(3), pages 475-485, September.
- Mario Romanazzi, 1992. "Influence in canonical correlation analysis," Psychometrika, Springer, vol. 57(2), pages 237-259, June.
- Ortega, Edwin M.M. & Cordeiro, Gauss M. & Lemonte, Artur J., 2012. "A log-linear regression model for the β-Birnbaum–Saunders distribution with censored data," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 698-718.
- Leiva, Victor & Barros, Michelli & Paula, Gilberto A. & Galea, Manuel, 2007. "Influence diagnostics in log-Birnbaum-Saunders regression models with censored data," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 5694-5707, August.
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