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Simulation Comparison of CBB and GSBB in Overall Mean Estimation Problem for PC Time Series

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Abstract

In the chapter the performance comparison in the simulation study of the block bootstrap methods that can be used in the problem of the overall mean estimation of a PC time series is presented. Two block bootstrap techniques are considered: the Circular Block Bootstrap and the circular version of the Generalized Seasonal Block Bootstrap. The actual coverage probabilities of the bootstrap equal-tailed confidence intervals are calculated for a wide range of the block length choices and a few sample sizes. Moreover, the optimal values of the block lengths are pointed. In the most of the considered cases performance of CBB and GSBB is very comparable.

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References

  • Antoni J (2009) Cyclostationarity by examples. Mech Syst Sign Process 23(4):987–1036

    Article  Google Scholar 

  • Bloomfield P, Hurd HL, Lund R (1994) Periodic correlation in stratospheric ozone data. J Time Ser Anal 15:127–150

    Article  MATH  MathSciNet  Google Scholar 

  • Bloomfield P, Hurd HL, Lund RB, Smith R (1995) Climatological time series with periodic correlation. J Clim 8:2787–2809

    Article  Google Scholar 

  • Chan V, Lahiri SN, Meeker WQ (2004) Block bootstrap estimation of the distribution of cumulative outdoor degradation. Technometrics 46:215–224

    Article  MathSciNet  Google Scholar 

  • Dudek AE, Hurd H, Wójtowicz W (2013) perARMA: package for periodic time series analysis, R package version 1.5. http://cran.r-project.org/web/packages/perARMA

  • Dudek AE, Leśkow J, Politis D, Paparoditis E (2014) A generalized block bootstrap for seasonal time series. J Time Ser Anal. doi:10.1002/jtsa.12053. Accessed 27 NOV 2013

  • Hurd HL, Miamee AG (2007) Periodically correlated random sequences: spectral theory and practice. Wiley, Hoboken

    Book  Google Scholar 

  • Jones R, Brelsford W (1967) Time series with periodic structure. Biometrika 54:403–408

    MATH  MathSciNet  Google Scholar 

  • Leśkow J, Synowiecki R (2010) On bootstrapping periodic random arrays with increasing period. Metrika 71:253–279

    Article  MATH  MathSciNet  Google Scholar 

  • Politis DN (2001) Resampling time series with seasonal components, in frontiers in data mining and bioinformatics. In: Proceedings of the 33rd symposium on the interface of computing science and statistics, Orange County, CA, 13–17 June 2001, pp 619–621

    Google Scholar 

  • Politis DN, Romano JP (1992) A circular block-resampling procedure for stationary data. Wiley series in probability and mathematical statistics: probability and mathematical statistics. Wiley, New York, pp 263–270

    Google Scholar 

  • Synowiecki R (2007) Consistency and application of moving block bootstrap for nonstationary time series with periodic and almost periodic structure. Bernoulli 13(4):1151–1178

    Article  MATH  MathSciNet  Google Scholar 

  • Synowiecki R (2008) Metody resamplingowe w dziedzinie czasu dla niestacjonarnych szeregów czasowych o strukturze okresowej i prawie okresowej. PhD Thesis at the Departement of Applied Mathematics, AGH University of Science and Technology, Krakow, Poland. http://winntbg.bg.agh.edu.pl/rozprawy2/10012/full10012.pdf

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Acknowledgments

Research of Anna Dudek was partially supported by the Polish Ministry of Science and Higher Education and AGH local grant.

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Correspondence to Anna E. Dudek .

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© 2014 Springer International Publishing Switzerland

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Dudek, A.E., Potorski, P. (2014). Simulation Comparison of CBB and GSBB in Overall Mean Estimation Problem for PC Time Series. In: Chaari, F., Leśkow, J., Napolitano, A., Sanchez-Ramirez, A. (eds) Cyclostationarity: Theory and Methods. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-04187-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-04187-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04186-5

  • Online ISBN: 978-3-319-04187-2

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