Block Bootstrap for the Autocovariance Coefficients of Periodically Correlated Time Series
DOI10.1007/978-1-4939-0569-0_8zbMath1332.62319OpenAlexW2499449MaRDI QIDQ2787359
S. Maiz, Jacek Leśkow, Anna E. Dudek
Publication date: 25 February 2016
Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-1-4939-0569-0_8
autocovariance functionsimultaneous confidence intervalsblock bootstrapFourier coefficients periodically correlated time seriessignificant frequencies
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric statistical resampling methods (62G09)
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Cites Work
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- Bibliography on cyclostationarity
- Estimation of the Fourier coefficient functions and their spectral densities for \(\phi\)-mixing almost periodically correlated processes
- Subsampling
- Subsampling for continuous-time almost periodically correlated processes
- Consistency and application of moving block bootstrap for non-stationary time series with periodic and almost periodic structure
- Correlation theory of almost periodically correlated processes
- A GENERALIZED BLOCK BOOTSTRAP FOR SEASONAL TIME SERIES
- Subsampling in testing autocovariance for periodically correlated time series
- Nonparametric time series analysis for periodically correlated processes
- Periodically Correlated Random Sequences
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