Some Remarks about the Gasser-Sroka-Jennen-Steinmetz Variance Estimator

Keywords

Estimator, Mathematics, Degrees of freedom (physics and chemistry), Gaussian, Applied mathematics

References

• A VARIABLE SPAN SMOOTHERJerome H. Friedman — 1984
• AN APPROXIMATION TO THE DISTRIBUTION OF QUADRATIC FORMS IN NORMAL RANDOM VARIABLESMichael Buckley, G. K. Eagleson — 1988
• An Introduction to Kernel and Nearest-Neighbor Nonparametric RegressionNaomi Altman — 1992
• A graphical method for estimating the residual variance in nonparametric regressionMichael Buckley, G. K. Eagleson — 1989
• Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way ClassificationGeorge E. P. Box — 1954
• Robust Locally Weighted Regression and Smoothing ScatterplotsWilliam S. Cleveland — 1979
• Residual variance and residual pattern in nonlinear regressionThéo Gasser, Lothar Sroka, Christine Jennen-Steinmetz — 1986
• Consistent Nonparametric RegressionCharles J. Stone — 1977
• Spline Smoothing and Nonparametric Regression.M. C. Jones, R. L. Eubank — 1989
• Spline Smoothing and Nonparametric Regression.Douglas Nychka, R. L. Eubank — 1989
• An Introduction to Kernel and Nearest-Neighbor Nonparametric RegressionNaomi Altman — 1992
• Robust Locally Weighted Regression and Smoothing ScatterplotsWilliam S. Cleveland — 1979
• Distribution of a Sum of Weighted Chi-Square VariablesHerbert Solomon, Michael A. Stephens — 1977
• Kernel estimation of regression functionsT. Gasser, Hans-Georg Müller — 1979

Cited by

• An Introduction to Kernel and Nearest-Neighbor Nonparametric RegressionNaomi Altman — 1992
• Lack-of-fit Tests to Indicate Material Model Improvement or Experimental Data Noise ReductionCharles F. Jekel, Raphael T. Haftka, Gerhard Venter — 2018
• An Introduction to Kernel and Nearest-Neighbor Nonparametric RegressionNaomi Altman — 1992
• Variance Estimation and Bandwidth Selection for Kernel RegressionE. Herrmann — 2012

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