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The LOESS Procedure

References

Akaike, H. (1973), “Information Theory and an Extension of the Maximum Likelihood Principle,” in Petrov and Csaki, eds., Proceedings of the Second International Symposium on Information Theory, 267–281.

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Cleveland, W. S. and Grosse, E. (1991), “Computational Methods for Local Regression,” Statistics and Computing, 1, 47–62.

Cleveland, W. S., Grosse, E., and Shyu, M.-J. (1992), “A Package of C and Fortran Routines for Fitting Local Regression Models,” Unpublished.

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Gordon, W. J. (1971), “Blending-Function Methods of Bivariate and Multivariate Interpolation and Approximation,” SIAM Journal of Numerical Analysis, 8, No. 1, 158–177.

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Hurvich, C. M., Simonoff, J. S., and Tsai, C. L. (1998), “Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion,” Journal of the Royal Statistical Society B, 60, 271–293.

National Institute of Standards and Technology (1998), “Statistical Reference Data Sets,” http://www.nist.gov/srd/index.htm, last accessed January 29, 2010.

Ruppert, D., Sheather, S. J., and Wand, M. P. (1995), “An Effective Bandwidth Selector for Local Least Squares Regression,” Journal of the American Statistical Association, 90, 1257–1270.

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