Statistical Methods for Nonstationary Extremes
By R. Katz. 2013
224 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/54449d7643563b2cb98ed54588e2ec295d12df43
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
In Global and Planetary Change
- N. V. Umamahesh
- V. Agilan
- Eric Gilleland
- Gabriele Villarini
- I. Mallakpour
- Amir Aghakouchak
- R. Katz
- Linyin Cheng
Citations in the corpus
- A simulation study to examine the sensitivity of the Pettitt test to detect abrupt changes in mean (2016, methodology): “Therefore, our findings are in line with Katz (2013), and indicate that alternative methodologies are recommended to detect change points in the extremes in the case of a weak signal.”
- Modelling nonlinear trend for developing non‐stationary rainfall intensity–duration–frequency curve (2017, methodology): “The null hypothesis of no-trend in a parameter value is tested by comparing the negative log likelihood of the stationary model and the best non-stationary model (Katz, 2013).”
- Non-stationary extreme value analysis in a changing climate (2014, background): “Alternatively, Rootzén and Katz 2013 introduced the concept of Design Life Level to quantify the probability of exceeding a fixed threshold during the design life of a project.”