Titlebook: Climate Time Series Analysis; Classical Statistica Manfred Mudelsee Book 20101st edition Springer Science+Business Media B.V. 2010 AR(1).At

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Manfred MudelseeSolely devoted to time series analysis in climatological and meteorological research.Introduces the bootstrap approach for extracting quantitative climatological information which relies on modern com

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Atmospheric and Oceanographic Sciences Libraryhttp://image.papertrans.cn/c/image/227646.jpg

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Bootstrap Confidence Intervalsasurement and proxy errors of .(.), outliers, dating errors of .(.) and climatic noise. Therefore, . cannot be expected to equal θ. The accuracy of ., how close it comes to θ, is described by statistical terms such as standard error, bias, mean squared error and confidence interval (CI). These are introduced in Section 3.1.

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Zusammenfassende Abschlussbetrachtung,0 years), and also to larger spatial and further processual scales considered to influence climate (Earth’s surface, cryosphere, Sun, etc.), does not reduce complexity. This book loosely adopts the term “climate” to refer to this extended view, which shall also include “paleoclimate” as the climate within the geologic past.

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https://doi.org/10.1007/978-3-662-29785-8a inform about the “memory” of the climate fluctuations, the span of the persistence. The fitted models and their estimated parameters can then be directly used for the bootstrap resampling procedure.

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