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Bayesian Detection of Shifts in Hydrologic Time Series

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Part of the book series: Water Science and Technology Library ((WSTL,volume 45))

Abstract

Detection of shifts in a hydrologic time series is an important problem because shifts can indicate climatic changes. Climatic changes can manifest as changes in the characteristics of hydrologic time series. These characteristics include the mean, variance and other statistical properties of time series.

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© 2003 Springer Science+Business Media Dordrecht

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Ramachandra Rao, A., Hamed, K.H., Chen, HL. (2003). Bayesian Detection of Shifts in Hydrologic Time Series. In: Nonstationarities in Hydrologic and Environmental Time Series. Water Science and Technology Library, vol 45. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0117-5_11

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  • DOI: https://doi.org/10.1007/978-94-010-0117-5_11

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-3979-6

  • Online ISBN: 978-94-010-0117-5

  • eBook Packages: Springer Book Archive

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