SiZer for smoothing splines

Computational Statistics

Volumn 20, Issue 3, 2005, Pages 481-502

  Marron, J S ^a   Zhang, Jin Ting ^b  

^a University of North Carolina at Chapel Hill   (United States)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Nonparametric tests; SiZer; Smoothing splines

Indexed keywords

EID: 33746051304     PISSN: 09434062     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02741310     Document Type: Article

References (12)

1. Chaudhuri, P. and Marron, J. S. (1999), SiZer for exploration of structure in curves, Journal of the American Statistical Association, 94, 807-823.
2. Eubank, R. L. (2000), Nonparametric Regression and Spline Smoothing, Marcel Dekker, New York.
3. Fan, J. and Gijbels, I. (1996), Local Polynomial Modelling and Its Applications, Chapman and Hall, London.
4. Fan, J. and Marron, J. S. (1994), Fast implementations of nonparametric curve estimators, Journal of Computational and Graphical Statistics, 3, 35-56.
5. Green, P. J. and Silverman, B. W. (1994), Nonparametric Regression and Generalized Linear Models, Chapman and Hall, London.
6. Härdle, W. (1990), Applied Nonparametric Regression, Cambridge University Press, Boston.
7. Hastie, T.J. and Tibshirani, R. J. (1990), Generalized Additive Models, Chapman and Hall, London.
8. Loader, C. (1999), Local Regression and Likelihood, Springer Verlag, Berlin.
9. Marron, J. S. (1996), A personal view of smoothing and statistics, in Statistical Theory and Computational Aspects of Smoothing, eds. W. Härdle and M. Schimek, 1-9 (with discussion, and rejoinder 103-112).
10. Silverman, B. W. (1984), Spline smoothing: the equivalent kernel method. Ann. Statist., 12, 898-916.
11. Wahba, G. (1991), Spline Models for Observational Data, SIAM, Philadelphia.
12. Wand, M. P. and Jones, M. C. (1995), Kernel Smoothing, Chapman and Hall, London.