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  • The contribution deals with a statistical analysis of digitized chart records from six ombrographic stations of the Czech Hydrometeorological Institute. The statistical techniques for analyzing the measured time series are consistently based on the theory of extreme value distributions. Two methods of statistical inference (annual maximum series and partial duration series), and two approaches to parameter estimation (maximum likelihood method and probability-weighted moment method), are compared in the contribution.
  • The contribution deals with a statistical analysis of digitized chart records from six ombrographic stations of the Czech Hydrometeorological Institute. The statistical techniques for analyzing the measured time series are consistently based on the theory of extreme value distributions. Two methods of statistical inference (annual maximum series and partial duration series), and two approaches to parameter estimation (maximum likelihood method and probability-weighted moment method), are compared in the contribution. (en)
Title
  • Hydrological Application of Extreme Value Distribution
  • Hydrological Application of Extreme Value Distribution (en)
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  • Hydrological Application of Extreme Value Distribution
  • Hydrological Application of Extreme Value Distribution (en)
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  • RIV/00216305:26210/11:PU94426!RIV12-MSM-26210___
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  • RIV/00216305:26210/11:PU94426
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  • annual maximum series, extreme value distribution, Pareto distribution, maximum likelihood method, partial duration series, probability-weighted moment method (en)
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  • [0452690C665F]
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  • Fusek, Michal
  • Michálek, Jaroslav
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  • 26210
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