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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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發(fā)表于 2025-3-21 17:42:22 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Climate Time Series Analysis
副標題Classical Statistica
編輯Manfred Mudelsee
視頻videohttp://file.papertrans.cn/228/227646/227646.mp4
概述Solely devoted to time series analysis in climatological and meteorological research.Introduces the bootstrap approach for extracting quantitative climatological information which relies on modern com
叢書名稱Atmospheric and Oceanographic Sciences Library
圖書封面Titlebook: Climate Time Series Analysis; Classical Statistica Manfred Mudelsee Book 20101st edition Springer Science+Business Media B.V. 2010 AR(1).At
描述.Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation...This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers..
出版日期Book 20101st edition
關鍵詞AR(1); Atmospheric; Bootstrap; Frequency analysis; Regression; Resampling; Scale; Time series; Weather; corre
版次1
doihttps://doi.org/10.1007/978-90-481-9482-7
isbn_softcover978-94-007-3313-8
isbn_ebook978-90-481-9482-7Series ISSN 1383-8601 Series E-ISSN 2215-162X
issn_series 1383-8601
copyrightSpringer Science+Business Media B.V. 2010
The information of publication is updating

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https://doi.org/10.1007/978-3-662-29785-8nfidence intervals or error bars for the various estimation problems treated in the subsequent chapters. The bootstrap works with artificially produced (by means of a random number generator) resamples of the noise process. Accurate bootstrap results need therefore the resamples to preserve the pers
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,Den Lebensnerv des Unternehmens schützen,a parameter as θ. An estimator, ., is a recipe how to calculate θ from a set of data. The data, discretely sampled time series ., are influenced by measurement and proxy errors of .(.), outliers, dating errors of .(.) and climatic noise. Therefore, . cannot be expected to equal θ. The accuracy of .,
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Praktische Wege zu richtigen Akkorden,ible to separate short-term from long-term variations and to distinguish between cyclical forcing mechanisms of the climate system and broad-band resonances. Spectral analysis allows to learn about the climate physics.
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Fettschmierung und Schmierfette,e—the risk of climate extremes—is of high socioeconomical relevance. In the context of climate change, it is important to move from stationary to nonstationary (time-dependent) models: with climate changes also risk changes may be associated.
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https://doi.org/10.1007/978-3-662-31543-9ry” based on equations. Owing to the complexity of the climate system, such a theory can never be derived alone from the pure laws of physics—it requires to establish empirical relations between observed climate processes.
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