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subject:"Estimation theory"
subject:"Germany"
~isPartOf:"Discussion paper / A"
~type_genre:"Festschrift"
~type_genre:"Forschungsbericht"
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Estimation theory
Germany
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Hildenbrand, Werner
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2
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Discussion paper / A
Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
22
Discussion paper / B
15
Working paper / Department of Econometrics and Business Statistics, Monash University
9
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6
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Discussion paper / Sonderforschungsbereich 386 der Ludwig-Maximilians-Universität München
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Nonlinear wavelets smoothing of error distribution in a semiparametric model
Li, Zhu-yu
-
1997
Persistent link: https://www.econbiz.de/10000987010
Saved in:
2
Note on error density estimation in nonparametric regression and application to income data
Li, Zhu-yu
-
1997
Persistent link: https://www.econbiz.de/10000971076
Saved in:
3
Invariant points of low dimensional curve families
Utikal, Klaus J.
-
1996
Persistent link: https://www.econbiz.de/10000930495
Saved in:
4
Markovian interval processes I: nonparametric inference
Utikal, Klaus J.
-
1995
Persistent link: https://www.econbiz.de/10000922832
Saved in:
5
Metonymy and cross section demand
Evstigneev, Igor V.
-
1995
Persistent link: https://www.econbiz.de/10000922865
Saved in:
6
Testing increasing spread when there are errors in the data
Heid, Frank
-
1994
Persistent link: https://www.econbiz.de/10000892943
Saved in:
7
On the empirical evidence of microeconomic demand theory
Hildenbrand, Werner
-
1993
Persistent link: https://www.econbiz.de/10000871326
Saved in:
8
Tree-structured histogram estimation based on a simple class of wavelets
Engel, Joachim
-
1993
Persistent link: https://www.econbiz.de/10000373490
Saved in:
9
An iterative bandwidth selector for kernel estimation of densities and their derivatives
Engel, Joachim
-
1993
Persistent link: https://www.econbiz.de/10000869817
Saved in:
10
Family expenditure data, heteroscedasticity and the law of demand
Hildenbrand, Werner
-
1992
Persistent link: https://www.econbiz.de/10000854794
Saved in:
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