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How far are automatically chosen regression smoothing parametres from their optimum?
Haerdle, Wolfgang
;
Hall, Peter
;
Marron, J.
-
University of Bonn, Germany
-
1986
Persistent link: https://www.econbiz.de/10005085652
Saved in:
2
Sequential Kernelsmoothing for estimation of zeros and location of extrema of regression functions
Haerdle, Wolfgang
-
University of Bonn, Germany
-
1987
Persistent link: https://www.econbiz.de/10004993082
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3
Investigations smooth multiple regression by the method of average derivatives
Haerdle, Wolfgang
;
Stoker, Thomas
-
University of Bonn, Germany
-
1987
Persistent link: https://www.econbiz.de/10004993151
Saved in:
4
Testing aregression model when we have smooth alternatives in mind
Haerdle, Wolfgang
;
Kneip, Alois
-
University of Bonn, Germany
-
1992
Persistent link: https://www.econbiz.de/10004968156
Saved in:
5
XploRe,a computing environment for exploatory regression
Haerdle, Wolfgang
-
University of Bonn, Germany
-
1987
Persistent link: https://www.econbiz.de/10005001442
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6
Cross section Engel curves over time
Haerdle, Wolfgang
;
Jerison, Michael
-
University of Bonn, Germany
-
1988
Persistent link: https://www.econbiz.de/10005028288
Saved in:
7
Kernel estimation: The equivalent spline smoothing method
Haerdle, Wolfgang
;
Nussbaum, Michael
-
University of Bonn, Germany
-
1989
Persistent link: https://www.econbiz.de/10005028308
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8
The interplay between statistics and computing in data ana- lysis
Haerdle, Wolfgang
-
University of Bonn, Germany
-
1989
Persistent link: https://www.econbiz.de/10005028310
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9
Bootstrap confidence bands
Haerdle, Wolfgang
;
Nussbaum, Michael
-
University of Bonn, Germany
-
1990
Persistent link: https://www.econbiz.de/10005028338
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10
Semiparametric comparision of regression curve
Haerdle, Wolfgang
;
Marron, J.
-
University of Bonn, Germany
-
1987
Persistent link: https://www.econbiz.de/10005032095
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