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Cook, R. D. and Nachtsheim, C. J. (1994). Reweighting to achieve Elliptically Contoured Covariates in Regression, Journal of the American Statistical Association, 89, 592-600.
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Cook, R. D. and Ni, L. (2005). Sufficient Dimension Reduction via Inverse Regression: A Minimum Discrepancy Approach, Journal of the American Statistical Association, 100, 410-428.
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Cook, R. D. and Setodji, C. M. (2003). A model-free test for reduced rank in multivariate regression, Journal of the American Statistical Association, 98, 340-351.
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Ferguson, T. (1958). A method of generating best asymptotically normal estimates with application to the estimation of bacterial densities, Annals of Mathematical Statistic, 29, 1046-1062.
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Li, K. C. (1991). Sliced inverse regression for dimension reduction, Journal of the American Statistical Association, 86, 316-342.
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Rao, C. R. (1965). Linear Statistical Inference and Its Application, Wiley, New York.
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Shapiro, A. (1986). Asymptotic theory of overparameterized structural models, Journal of the American Statistical Association, 81, 142-149.
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Yoo, J. K. and Cook, R. D. (2007). Optimal sufficient dimension reduction for the conditional mean in multivariate regression, Biometrika, 94, 231-242.
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9 |
Cook, R. D. and Li, B. (2002). Dimension reduction for the conditional mean, Annals of Statistics, 30, 455-474.
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