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Volumn 56, Issue 2, 1996, Pages 259-283

Nonparametric approach for non-gaussian vector stationary processes

Author keywords

Analysis of time series; Efficacy; Fourth order cumulant spectral density; Measure of linear dependence; Non Gaussian robustness; Non Gaussian vector stationary process; Nonparametric hypothesis testing; Principal components; Spectral density matrix

Indexed keywords


EID: 0030077092     PISSN: 0047259X     EISSN: None     Source Type: Journal    
DOI: 10.1006/jmva.1996.0014     Document Type: Article
Times cited : (33)

References (20)
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  • 10
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    • Hallin, M.1    Puri, M.L.2
  • 12
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    • A central limit theorem for stationary processes and the parameter estimation of linear processes
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    • Limiting behavior of functionals of higher-order sample cumulant spectra
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    • On estimation of the integrals of the fourth order cumulant spectral density
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    • Minimum contrast estimation for spectral densities of stationary processes
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  • 20
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    • Non-parametric approach in time series analysis
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    • Taniguchi, M.1    Kondo, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.