Estimation and inference for error variance in bivariate nonparametric regression-Reference-Cited by-同舟云学术

Estimation and inference for error variance in bivariate nonparametric regression

Published:2007-02-07 Issue:1 Volume:17 Page:39-47
ISSN:0960-3174
Container-title:Statistics and Computing
language:en
Short-container-title:Stat Comput

Author:

Bock M.,Bowman A. W.,Ismail B.

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability,Theoretical Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s11222-006-9000-0.pdf

Reference25 articles.

1. Berman M. 1988. A theorem of Jacobi and its generalization. Biometrika 75: 779–783.

2. Bowman A.W. and Azzalini A. 1997. Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations. Oxford University Press, Oxford.

3. Buckley M.J., Eagleson G.K., and Silverman B.W. 1988. The estimation of residual variance in nonparametric regression. Biometrika 75: 189–199.

4. Buckley M.J. and Eagleson G.K. 1989. A graphical method for estimating the residual variance in nonparametric regression. Biometrika 76: 203–210.

5. Chambers J.M. and Hastie T.J. 1992. Statistical Models in S. Wadsworth and Brooks; Pacific Grove, CA.

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