참고문헌
- Chiaromonte, F., Cook, R. D. and Li, B. (2002). Dimension reduction with categorical predictors, Annals of Statistics, 30, 475-497. https://doi.org/10.1214/aos/1021379862
- Cook, R. D. (1998). Regression Graphics, Wiley, New York.
- Cook, R. D. and Li, B. (2002). Dimension Reduction for the Conditional Mean, Annals of Statistics, 30, 455-474. https://doi.org/10.1214/aos/1021379861
- Li, B., Cook, R. D. and Chiaromonte, F. (2003). Dimension reduction for the conditional mean in regressions with categorical predictors, Annals of Statistics, 31, 1636-1668. https://doi.org/10.1214/aos/1065705121
- Nierenberg, W. D., Stukel, A. T., Baron, A. J., Dain, J. B. and Greenberg, E. R. (1989). The skin cancer prevention study group, determinants of plasma levels of beta-carotene and retinol, American Journal of Epidemiology, 130, 511-521. https://doi.org/10.1093/oxfordjournals.aje.a115365
- Wen, X. and Cook, R. D. (2007). Optimal sufficient dimension reduction in regressions with categorical predictors, Journal of Statistical Planning and Inference, 137, 1961-1978. https://doi.org/10.1016/j.jspi.2006.05.008
- Yin, X. and Cook, R. D. (2002). Dimension reduction for the conditional kth moment in regression, Journal of Royal Statistical Society, Series B, 64, 159-175. https://doi.org/10.1111/1467-9868.00330
- Yoo, J. K. (2009). Partial moment-based dimension reduction, Statistics and Probability Letters, 79, 450-456. https://doi.org/10.1016/j.spl.2008.09.024
피인용 문헌
- Advances in seeded dimension reduction: Bootstrap criteria and extensions vol.60, 2013, https://doi.org/10.1016/j.csda.2012.10.003
- Generalized Partially Double-Index Model: Bootstrapping and Distinguishing Values vol.22, pp.3, 2015, https://doi.org/10.5351/CSAM.2015.22.3.305
- Sufficient dimension reduction in multivariate regressions with categorical predictors vol.63, 2013, https://doi.org/10.1016/j.csda.2013.02.014
- A link-free approach for testing common indices for three or more multi-index models vol.153, 2017, https://doi.org/10.1016/j.jmva.2016.10.002