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  • Search: subject:"Empirical spectral distribution"
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Year of publication
Subject
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Independence test 3 Central limit theorem 2 Covariance stationary time series 2 Empirical spectral distribution 2 Large dimensional sample covariance matrix 2 Linear spectral statistics 2 Marcenko-Pastur Law 2 empirical spectral distribution 2 Characteristic function 1 Panel 1 Panel study 1 Statistical test 1 Statistischer Test 1 Theorie 1 Theory 1 Time series analysis 1 Zeitreihenanalyse 1 characteristic function 1 cross-sectional dependence 1 cross–sectional independence 1 linear panel data models 1
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Online availability
All
Free 4
Type of publication
All
Book / Working Paper 4
Type of publication (narrower categories)
All
Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
All
English 2 Undetermined 2
Author
All
Gao, Jiti 3 Pan, Guangming 3 Yang, Yanrong 3 Gao, J. 1 Guo, M. 1 Guo, Meihui 1 Pan, G. 1 Yang, Y. 1
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Institution
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Department of Econometrics and Business Statistics, Monash Business School 2 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
All
Monash Econometrics and Business Statistics Working Papers 2 MPRA Paper 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1
Source
All
RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Cross-sectional independence test for a class of parametric panel data models
Pan, Guangming; Gao, Jiti; Yang, Yanrong; Guo, Meihui - 2015
Persistent link: https://www.econbiz.de/10011781344
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Testing Independence for a Large Number of High Dimensional Random Vectors
Pan, Guangming; Gao, Jiti; Yang, Yanrong - Department of Econometrics and Business Statistics, … - 2013
Capturing dependence among a large number of high dimensional random vectors is a very important and challenging problem. By arranging n random vectors of length p in the form of a matrix, we develop a linear spectral statistic of the constructed matrix to test whether the n random vectors are...
Persistent link: https://www.econbiz.de/10010860404
Saved in:
Cover Image
Testing Independence for a Large Number of High–Dimensional Random Vectors
Gao, Jiti; Pan, Guangming; Yang, Yanrong - Volkswirtschaftliche Fakultät, … - 2012
Capturing dependence among a large number of high dimensional random vectors is a very important and challenging problem. By arranging n random vectors of length p in the form of a matrix, we develop a linear spectral statistic of the constructed matrix to test whether the n random vectors are...
Persistent link: https://www.econbiz.de/10011259986
Saved in:
Cover Image
Independence Test for High Dimensional Random Vectors
Pan, G.; Gao, J.; Yang, Y.; Guo, M. - Department of Econometrics and Business Statistics, … - 2012
statistic is based on the characteristic function of the empirical spectral distribution of the sample covariance matrix. The …
Persistent link: https://www.econbiz.de/10009650288
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