References
- Cook, R. D. (1998a). Principal Hessian directions revisited, Journal of the American Statistical Association, 93, 84-100. https://doi.org/10.1080/01621459.1998.10474090
- Cook, R. D. (1998b). Regression Graphics, Wiley, New York.
- Cook, R. D. (2004). Testing predictor contributions in sufficient dimension reduction, Annals of Statistics, 32, 1062-1092. https://doi.org/10.1214/009053604000000292
- 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
- Cook, R. D. andWeisberg, S. (1991). Discussion of sliced inverse regression for dimension reduction by K.C. Li, Journal of the American Statistical Association, 86, 328-332.
- Hotelling, H. (1936). Relations between two sets of variates, Biometrika, 28, 321-377. https://doi.org/10.1093/biomet/28.3-4.321
- Li, K. C. (1991). Sliced inverse regression for dimension reduction, Journal of the American Statistical Association, 86, 326-342.
- Li, K. C. (1992). On principal Hessian directions for data visualization and dimension reduction: Another application of Stein's lemma, Journal of the American Statistical Association, 87, 1025-1039. https://doi.org/10.1080/01621459.1992.10476258
- Shao, Y., Cook, R. D. and Weisberg, S. (2007). Marginal tests of sliced average variance estimation, Biometrika, 94, 285-296. https://doi.org/10.1093/biomet/asm021
- Ye, Z. andWeiss R. E. (2003). Using the bootstrap to select one of a new class of dimension reduction methods, Journal of the American Statistical Association, 98, 968-979. https://doi.org/10.1198/016214503000000927
- 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. (2011). Unified predictor hypothesis tests in sufficient dimension reduction: Bootstrap approach, Journal of the Korean Statistical Society, 40, 217-222 https://doi.org/10.1016/j.jkss.2010.09.006