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Original Articles

Subsampling confidence intervals for parameters of atmospheric time series: block size choice and calibration

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Pages 381-389 | Received 12 Apr 2003, Published online: 01 Feb 2007

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M. B. Rajarshi. (2018) Comparison of pivotals for confidence bounds and intervals for the mean of a stationary time series. Communications in Statistics - Theory and Methods 47:1, pages 18-27.
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Articles from other publishers (7)

Ivan Kojadinovic & Kristina Stemikovskaya. (2019) Subsampling (weighted smooth) empirical copula processes. Journal of Multivariate Analysis 173, pages 704-723.
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A. Gluhovsky & T. Nielsen. (2012) Brief communication "Improving the actual coverage of subsampling confidence intervals in atmospheric time series analysis". Nonlinear Processes in Geophysics 19:5, pages 473-477.
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A. Gluhovsky. (2011) Statistical inference from atmospheric time series: detecting trends and coherent structures. Nonlinear Processes in Geophysics 18:4, pages 537-544.
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Souleymane Fall, Dev Niyogi, Alexander Gluhovsky, Roger A. PielkeSrSr, Eugenia Kalnay & Gilbert Rochon. (2009) Impacts of land use land cover on temperature trends over the continental United States: assessment using the North American Regional Reanalysis. International Journal of Climatology 30:13, pages 1980-1993.
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Alexander Gluhovsky & Ernest Agee. (2009) Estimating Higher-Order Moments of Nonlinear Time Series. Journal of Applied Meteorology and Climatology 48:9, pages 1948-1954.
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Alexander Gluhovsky. 2008. Nonlinear Time Series Analysis in the Geosciences. Nonlinear Time Series Analysis in the Geosciences 3 16 .
Alexander Gluhovsky & Ernest Agee. (2007) On the Analysis of Atmospheric and Climatic Time Series. Journal of Applied Meteorology and Climatology 46:7, pages 1125-1129.
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