Add to ORKG32 pages, 1 article*An Introduction to Kernel and Nearest Neighbor Nonparametric Regression* (Altman, N. S.) 32 page
29 pages, 1 article*Consistent Bandwidth Selection for Kernel Binary Regression* (Altman, Naomi; Mac...
We describe the R np package via a series of applications that may be of interest to applied econome...
The paper is an introduction to a special issue of the International Journal of Approximate Reasonin...
Abstract. Nonparametric regression is a powerful tool to estimate nonlinear relations between some p...
4 pages, 1 article*Applied Nonparametric Statistical Methods by Peter Sprent* (McCulloch, Charles E....
22 pages, 1 article*An Iterated Cochrane-Orcutt Procedure for Nonparametric Regression* (Altman, Nao...
28 pages, 1 article*Nonparametric Empirical Bayes Growth Curve Analysis* (Altman, N. S.; Casella, G....
We describe the R np package via a series of applications that may be of interest to applied econome...
Title: Introduction to Nonparametric Methods Author: Natália Prelecová Department: Department of Pro...
17 pages, 1 article*Estimating Error Correlation in Nonparametric Regression* (Altman, Naomi S.) 17 ...
Title: Introduction to Nonparametric Methods Author: Natália Prelecová Department: Department of Pro...
We review different approaches to nonparametric density and regression estimation. Kernel estimators ...
We review different approaches to nonparametric density and regression estimation. Kernel estimators...
We review different approaches to nonparametric density and regression estimation. Kernel estimators ...
• Empirical densities • The kernel method • Statistical properties of the kernel method • Other meth...
29 pages, 1 article*Consistent Bandwidth Selection for Kernel Binary Regression* (Altman, Naomi; Mac...
We describe the R np package via a series of applications that may be of interest to applied econome...
The paper is an introduction to a special issue of the International Journal of Approximate Reasonin...
Abstract. Nonparametric regression is a powerful tool to estimate nonlinear relations between some p...
4 pages, 1 article*Applied Nonparametric Statistical Methods by Peter Sprent* (McCulloch, Charles E....
22 pages, 1 article*An Iterated Cochrane-Orcutt Procedure for Nonparametric Regression* (Altman, Nao...
28 pages, 1 article*Nonparametric Empirical Bayes Growth Curve Analysis* (Altman, N. S.; Casella, G....
We describe the R np package via a series of applications that may be of interest to applied econome...
Title: Introduction to Nonparametric Methods Author: Natália Prelecová Department: Department of Pro...
17 pages, 1 article*Estimating Error Correlation in Nonparametric Regression* (Altman, Naomi S.) 17 ...
Title: Introduction to Nonparametric Methods Author: Natália Prelecová Department: Department of Pro...
We review different approaches to nonparametric density and regression estimation. Kernel estimators ...
We review different approaches to nonparametric density and regression estimation. Kernel estimators...
We review different approaches to nonparametric density and regression estimation. Kernel estimators ...
• Empirical densities • The kernel method • Statistical properties of the kernel method • Other meth...
29 pages, 1 article*Consistent Bandwidth Selection for Kernel Binary Regression* (Altman, Naomi; Mac...
We describe the R np package via a series of applications that may be of interest to applied econome...
The paper is an introduction to a special issue of the International Journal of Approximate Reasonin...