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Are OLS estimates of the return to schooling biased downward? : Another look
Blackburn, McKinley L.; Neumark, David - 1993
Persistent link: https://www.econbiz.de/10000855472
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Directed least squares regression in errors-in-variables models
Wang, Liqun - 1991
Persistent link: https://www.econbiz.de/10000833393
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The fully modified OLS estimator as a system estimator : a Monte-Carlo analysis
Kostial, Kristina - 1995
Persistent link: https://www.econbiz.de/10000588980
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Doing least squares : some scenes from history
John, Aldrich - 1996
Persistent link: https://www.econbiz.de/10000610459
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Small sample properties of adaptive GLS estimators
Linton, Oliver - 1992
Persistent link: https://www.econbiz.de/10000135740
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The recursive prediction error learning : an alternative to least square learning
Chang, M. C.; Chu, C. Y. Cyrus; Lin, Kenneth S. - 1991
Persistent link: https://www.econbiz.de/10000136356
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Latent variables in linear stochastic models : reflections on "Maximum likelhood" and "Partial least squares" methods
Dijkstra, Taeke Klaas - 1981
Persistent link: https://www.econbiz.de/10000007335
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Logistic regression and discriminant analysis by ordinary least squares
Haggstrom, Gus W. - 1982
Persistent link: https://www.econbiz.de/10000012027
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Factor Analysis by instrumental variables methods : least squares justification and standard errors
Haegglund, G. - 1981
Persistent link: https://www.econbiz.de/10000019479
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Comparisons of the r - k class estimator to the ordinary least squares estimator under the Pitman's closeness criterion
Özkale, M. Revan; Kaçıranlar, Selahattin - In: Statistical papers 49 (2008) 3, pp. 503-512
Persistent link: https://www.econbiz.de/10003715370