SCBmeanfd-package: Simultaneous Confidence Bands for Mean Functions
Description Details Author(s) References
Description
Statistical methods for estimating and inferring the mean of functional data. The methods include simultaneous confidence bands, local polynomial fitting, bandwidth selection by plug-in and cross-validation, goodness-of-fit tests for parametric models, equality tests for two-sample problems, and plotting functions.
Details
| Package: | SCBmeanfd |
| Type: | Package |
| Version: | 1.3 |
| Date: | 2021-1-14 |
| License: | GPL-3 |
Author(s)
David Degras <ddegrasv@gmail.com>
Fabian Telschow
References
Azzalini, A. and Bowman, A. (1993). On the use of nonparametric regression for checking linear relationships. Journal of the Royal Statistical Society. Series B 55, 549-557.
Benhenni, K. and Degras, D. (2014). Local polynomial estimation of the mean function and its derivatives based on functional data and regular designs. ESAIM: Probability and Statistics 18, 881-899.
Degras, D. (2011). Simultaneous confidence bands for nonparametric regression with functional data. Statistica Sinica 21, 1735-1765.
Degras, D. (2017). Simultaneous confidence bands for the mean of functional data. WIREs Computational Statistics e1397.
Rice, J. A. and Silverman, B. W. (1991). Estimating the mean and covariance structure nonparametrically when the data are curves. Journal of the Royal Statistical Society. Series B 53, 233-243.
Telschow, F.J.E. and Schwartzman, A. (2019). Simultaneous confidence bands for functional data using the Gaussian kinematic formula. arXiV
