Stochastic Modeling of Hurricane Damage
By R. Katz. 2002
138 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/70646b34907bb44e51a12d19de4f746a75376e5c
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
- Eric Gilleland
- Fabian Barthel
- Eric Neumayer
- Marc B. Parlange
- Philippe Naveau
- R. Katz
- Fernando Port'e-Agel
- Rob Stoll
In Global and Planetary Change
- R. Katz
- Eric Gilleland
- Fabian Barthel
- Eric Neumayer
- Marc B. Parlange
- Philippe Naveau
- G. Brush
- Hans Van De Vyver
Citations in the corpus
- Normalizing economic loss from natural disasters: a global analysis (2010, background): “Existing scholarship comes to the conclusion that while natural variability in weather patterns can explain some of the variability in disaster losses (Pielke and Landsea, 1998; Katz, 2002; Pielke et al., 2008; Schmidt et al., 2009), there is no evidence for a rising long-term trend in so-called ‘‘n”
- Statistics of extremes in climate change (2010, methodology): “Katz and Brown (1992) extended the results of Wigley (1988), making more explicit use of extreme value theory, in showing that the frequency of extreme events, whether of the form of a single observation or of the maximum of a sequence of observations, exceeding a high threshold is more sensitive to”
- Statistics of extremes in hydrology (2002, methodology): “Katz [53] made use of this form of stochastic model in an application to economic damage caused by hurricanes.”
- STATISTICS OF EXTREMES: MODELING ECOLOGICAL DISTURBANCES (2005, background): “Although not necessarily synonymous with damage to ecosystems, the distribution of economic damage from disturbances such as hurricanes can be heavy-tailed as well (Katz 2002a, b).”
- ExtRemes 2.0: An extreme value analysis package in R (2016, methodology): “'s 3 and 4 of Katz (2002).”