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Ratio test for variance change point in linear process with long memory

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Abstract

In this paper we consider the detection problem of variance change point in linear process with long memory. We propose the ratio test to detect the variance change point. The limiting distribution for test statistics under H 0 is derived and the consistency of the test is also established. In comparison with the existing CUSUM of squares (SCUSUM) test, the ratio test does not need to estimate the long memory parameter in practical situation and therefore it can be used more conveniently.

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References

  • Abraham B, Wei WWS (1984) Inferences about the parameters of a time series model with changing variance. Metrika 31: 183–194

    Article  MATH  MathSciNet  Google Scholar 

  • Avram F, Taqqu M (1987) Noncentral limit theorems and appell polynomials. Ann Probab 15: 767–775

    Article  MATH  MathSciNet  Google Scholar 

  • Gombay E, Horváth L, Hus̈ková M (1996) Estimators and tests for change in variances. Stat Decis 14: 145–159

    MATH  Google Scholar 

  • Ho H, Hsing T (1997) Limit theorems for functionals of moving averages. Ann Probab 25: 1636–1669

    Article  MATH  MathSciNet  Google Scholar 

  • Horváth L, Horváth Z, Hus̈ková M (2008) Ratio tests for change point detection. Inst Math Stat 1: 293–304

    Google Scholar 

  • Hsu DA, Miller RB, Wichern DW (1974) On the stable paretian behavior of stock market prices. J Am Stat Assoc 69: 108–113

    Article  MATH  Google Scholar 

  • Inclàn C, Tiao GC (1994) Use of cumulative of sums squares for retrospective detection of changes of variance. J Am Stat Assoc 89: 913–923

    Article  MATH  Google Scholar 

  • Kim JY (2000) Detection of change in persistence of a linear time series. J Econom 95: 97–116

    Article  MATH  Google Scholar 

  • Kim JY, Belaire-Franch J, Amador R (2002) Corrigendum to “Detection of change in persistence of a linear time series”. J Econom 109: 389–392

    Article  Google Scholar 

  • Lee S, Park S (2001) The cusum of squares test for scale changes in infinite order moving average process. Scand J Statist 28: 625–644

    Article  MATH  MathSciNet  Google Scholar 

  • Mandelbrot PR, Van Ness JW (1968) Fractional Brownian motions, fractional noises and applications. SIAM Rev 10: 422–437

    Article  MATH  MathSciNet  Google Scholar 

  • Wang L, Wang J (2006) Change of variance problem for linear processes with long memory. Stat Papers 47: 279–298

    Article  MATH  Google Scholar 

  • Wichern DW, Miller RB, Hsu DA (1976) Changes of variance in first-order autoregressive time series models-with an application. Appl Statist 25: 248–256

    Article  Google Scholar 

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Correspondence to Wenzhi Zhao or Zheng Tian.

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Zhao, W., Tian, Z. & Xia, Z. Ratio test for variance change point in linear process with long memory. Stat Papers 51, 397–407 (2010). https://doi.org/10.1007/s00362-009-0202-3

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  • DOI: https://doi.org/10.1007/s00362-009-0202-3

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