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  • Search: subject:"nonparametric kernel testing"
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Year of publication
Subject
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nonparametric kernel testing 5 Edgeworth expansion 2 asymmetric kernel 2 degenerate U-statistic 2 generalized gamma kernels 2 power function 2 size function 2 smoothing parameter selection 2 symmetry test 2 two-sample goodness-of-fit test 2 Choice of bandwidth parameter 1 Core 1 Duration model 1 Estimation theory 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 Schätztheorie 1 Statistical distribution 1 Statistical test 1 Statistische Verteilung 1 Statistischer Test 1 choice of bandwidth parameter 1 hazard rates and random measures 1
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Online availability
All
Free 5
Type of publication
All
Book / Working Paper 3 Article 2
Type of publication (narrower categories)
All
Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 4 Undetermined 1
Author
All
Gao, Jiti 2 Gijbels, Irene 2 Hirukawa, Masayuki 2 Sakudo, Mari 2 GAO, Jiti 1 Wongsaart, Pipat 1
Institution
All
Department of Econometrics and Business Statistics, Monash Business School 1 School of Economics, University of Adelaide 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
Econometrics 1 Econometrics : open access journal 1 MPRA Paper 1 Monash Econometrics and Business Statistics Working Papers 1 School of Economics Working Papers 1
Source
All
RePEc 3 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 5 of 5
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Testing symmetry of unknown densities via smoothing with the generalized gamma kernels
Hirukawa, Masayuki; Sakudo, Mari - In: Econometrics 4 (2016) 2, pp. 1-27
This paper improves a kernel-smoothed test of symmetry through combining it with a new class of asymmetric kernels called the generalized gamma kernels. It is demonstrated that the improved test statistic has a normal limit under the null of symmetry and is consistent under the alternative. A...
Persistent link: https://www.econbiz.de/10011755333
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Testing symmetry of unknown densities via smoothing with the generalized gamma kernels
Hirukawa, Masayuki; Sakudo, Mari - In: Econometrics : open access journal 4 (2016) 2, pp. 1-27
This paper improves a kernel-smoothed test of symmetry through combining it with a new class of asymmetric kernels called the generalized gamma kernels. It is demonstrated that the improved test statistic has a normal limit under the null of symmetry and is consistent under the alternative. A...
Persistent link: https://www.econbiz.de/10011506402
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Nonparametric Kernel Testing in Semiparametric Autoregressive Conditional Duration Model
Wongsaart, Pipat; Gao, Jiti - Department of Econometrics and Business Statistics, … - 2011
A crucially important advantage of the semiparametric regression approach to the nonlinear autoregressive conditional duration (ACD) model developed in Wongsaart et al. (2011), i.e. the so-called Semiparametric ACD (SEMI-ACD) model, is the fact that its estimation method does not require a...
Persistent link: https://www.econbiz.de/10009318813
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Bandwidth Selection in Nonparametric Kernel Testing
GAO, Jiti; Gijbels, Irene - School of Economics, University of Adelaide - 2009
We propose a sound approach to bandwidth selection in nonparametric kernel testing. The main idea is to find an …
Persistent link: https://www.econbiz.de/10008462876
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Bandwidth selection for nonparametric kernel testing
Gao, Jiti; Gijbels, Irene - Volkswirtschaftliche Fakultät, … - 2005
We propose a sound approach to bandwidth selection in nonparametric kernel testing. The main idea is to find an …
Persistent link: https://www.econbiz.de/10005260155
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