Modeling and analysis of non-Gaussian long-range correlated data - Extreme 
value theory and effective sample sizes with applications to precipitation data

Polotzek, Katja

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Modeling and analysis of non-Gaussian long-range correlated data - Extreme value theory and effective sample sizes with applications to precipitation data

Polotzek, K. (2021). Modeling and analysis of non-Gaussian long-range correlated data - Extreme value theory and effective sample sizes with applications to precipitation data. PhD Thesis, Technische Universität Dresden, Dresden.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-91DD-A Version Permalink: https://hdl.handle.net/21.11116/0000-0009-91F1-2

Genre: Thesis

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Creators:
Polotzek, Katja¹, Author

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1Max Planck Institute for the Physics of Complex Systems, Max Planck Society, ou_2117288

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MPIPKS: Stochastic processes

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Language(s): eng - English

Dates: Submitted: 2021-11Date issued: 2021

Publication Status: Issued

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Publishing info: Dresden : Technische Universität Dresden

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Degree: PhD

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