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13.6 Further reading and notes
Brumback, B. and Rice, J. A. (1998) Smoothing spline models for the analysis of nested and crossed samples of curves (with discussion). Journal of the American Statistical Association, 93, 961–994.
Chiou, J.-M., Müller, H.-G. and Wang, J.-L. (2003) Functional quasi-likelihood regression models with smooth random effects. Journal of the Royal Statistical Society, Series B., 65, 405–423.
Fan, J. and Lin, S.-K. (1998) Tests of significance when data are curves. Journal of the Americal Statistical Association, 93, 1007–1021.
Faraway, J. J. (1997) Regression analysis for a functional response, Technometrics, 39, 254–261.
Li, K-C. (1991) Sliced inverse regression for dimension reduction (with discussion). Journal of the American Statistical Association, 86, 316–342.
Li, K-C., Aragon, Y., Shedden, K. and Thomas Agnan, C. (2003) Dimension reduction for multivariate response data. Journal of the American Statistical Association, 98, 99–109.
Muñoz Maldonado, Y., Staniswalis, J. G., Irwin, L. N. and Byers, D. (2002) A similarity analysis of curves. The Canadian Journal of Statistics, 30, 373–381.
Ramsay, J. O., Munhall, K., Gracco, V. L. and Ostry, D. J. (1996) Functional data analyses of lip motion. Journal of the Acoustical Society of America, 99, 3718–3727.
Ramsay, J. O, Heckman, N. and Silverman, B. W. (1997) Some general theory for spline smoothing. Behavioral Research: Instrumentation, Methods, and Computing, 29, 99–106.
Spitzner, D. J., Marron, J. S. and Essick, G. K. (2003) Mixed-model functional ANOVA for studying human tactile perception. The Journal of the American Statistical Association, 98, 263–272.
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(2005). Modelling functional responses with multivariate covariates. In: Functional Data Analysis. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/0-387-22751-2_13
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