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Volumn 18, Issue 4, 1997, Pages 321-339

Goodness-of-fit tests for autoregressive processes

(1)  Anderson, T W a  

a NONE

Author keywords

Autoregressive processes; Cram r von Mises statistic; Estimated parameters; Goodness of fit tests; Standardized spectral distribution

Indexed keywords


EID: 0041065152     PISSN: 01439782     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9892.00053     Document Type: Article
Times cited : (12)

References (13)
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  • 3
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    • Technical Report 309, NSF Grant DMS 93-01366, Department of Statistics, Stanford University
    • _ (1995) Goodness-of-fit tests for autoregressive processes. Technical Report 309, NSF Grant DMS 93-01366, Department of Statistics, Stanford University.
    • (1995) Goodness-of-fit Tests for Autoregressive Processes
  • 4
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  • 5
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    • The modified Cramér-von Mises goodness-of-fit criterion for time series
    • _ and STEPHENS, M. A. (1993) The modified Cramér-von Mises goodness-of-fit criterion for time series. Sankhyā A 55, 357-69.
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    • Stephens, M.A.1
  • 8
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    • On the asymptotic distribution of the sample autocovariance and autocorrelation functions
    • BOSHNAKOV, G. N. (1989) On the asymptotic distribution of the sample autocovariance and autocorrelation functions. C. R. Bulg. Acad. Sci. 42, 21-23.
    • (1989) C. R. Bulg. Acad. Sci. , vol.42 , pp. 21-23
    • Boshnakov, G.N.1
  • 10
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  • 11
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  • 12
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    • Empirical spectral processes and their applications to time series analysis
    • DAHLHAUS, R. (1988) Empirical spectral processes and their applications to time series analysis. Stochastic Process. Appl. 30, 69-83.
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  • 13
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    • A goodness-of-fit test for autoregressive moving-average models based on the standardized sample spectral distribution of the residuals
    • VELILLA, S. (1994) A goodness-of-fit test for autoregressive moving-average models based on the standardized sample spectral distribution of the residuals. J. Time Ser. Anal. 15, 637-47.
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    • Velilla, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.