DAFTAR PUSTAKA
Cleveland, W. S. 1979. Robust locally weighted regression and smoothing scatter-plots. J. Amer. Statist. Assoc., 74, 829-836.
Eubank, R.L., (1999), Nonparametric Regression and Spline Smoothing, Marcel Dekker, New York.
Fan, J. dan Gijbels, I. 1996.Local Polynomial Modelling and Its Applications. Chap-man and Hall. London.
Fox, J. 2002.Nonparametric Simple Regression: Smoothing Scatterplots. Thousand Oaks CA: Sage.
Gasser, T., Sroka, L. dan Jennen-Steinmetz, C. 1986. Residual variance and residual pattern in nonlinear regression. Biometrika, 73. 625-633.
Halim, S. dan Bisono, I. 2006. Fungsi-Fungsi Kernel Pada Metode Regresi Nonpara-metrik dan Aplikasinya Pada Priest River Experimental Forests Data. Jurnal Teknik Industri, Vol. 8 No.1. 73-81.
Hardle, W. 1994. Applied Nonparametric Regression, Newyork: Cambridge Univer-sity Press.
Isogai, E. 1987. The convergence rate of fixed-width sequential confidence interval for a probability density function.Sequential Analysis. 6. 55-69.
Nadaraya, E. A. 1964 On estimating regression.Theory and Probab. Appl. 141-142. doi: 10.1137/1109020 C701, C702.
Nason, G. P. dan Silverman. B . W. 1994. The Discrete Wavelet Transform in S. Journal of Computational and Graphical Statistics3:163191.
Nason, G. P. dan Silverman. B . W. 2000. Wavelets for Regression and Other Statis-tical Problems.In Smoothing and Regression: Approaches, Computation, and Application, ed. M. G. Schimek. New York: Wiley
Wand, M., dan Jones, M.M.C. 1995. Kernel Smoothing, Chapman & Hall, London.
Watson, G. S. 1964. Smooth regression analysis. Sankhya Series A. 359-372. C701,C702 of Int. Congress of Mathematicians, pp. 1311-1319 171-183.
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