Extreme value statistics and wind storm losses: A case study

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Cite
Rootzén, Holger, and Nader Tajvidi. “Extreme Value Statistics and Wind Storm Losses: A Case Study”. Scandinavian Actuarial Journal, vol. 1997, no. 1, 1997, pp. 70-94, https://doi.org/10.1080/03461238.1997.10413979.
Rootzén, H., & Tajvidi, N. (1997). Extreme value statistics and wind storm losses: A case study. Scandinavian Actuarial Journal, 1997(1), 70-94. https://doi.org/10.1080/03461238.1997.10413979
Rootzén, Holger, and Nader Tajvidi. “Extreme Value Statistics and Wind Storm Losses: A Case Study”. Scandinavian Actuarial Journal 1997, no. 1 (1997): 70-94. https://doi.org/10.1080/03461238.1997.10413979.
Rootzén H, Tajvidi N. Extreme value statistics and wind storm losses: A case study. Scandinavian Actuarial Journal. 1997;1997(1):70-94.
Journal Categories
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Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Social Sciences
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Economic theory
Demography
Economics as a science
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Refrences
Title Journal Journal Categories Citations Publication Date
A solvency study in non-life insurance Scandinavian Actuarial Journal
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Statistics
  • Social Sciences: Sociology (General)
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
12 1988
A solvency study in non-life insurance Scandinavian Actuarial Journal
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Statistics
  • Social Sciences: Sociology (General)
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
16 1988
10.1017/S0515036100010461 1964
10.1017/S0515036100010461 1994
10.1007/978-1-4899-4541-9 1993
Citations
Title Journal Journal Categories Citations Publication Date
Composite bias‐reduced Lp‐quantile‐based estimators of extreme quantiles and expectiles

Canadian Journal of Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2 2022
A refined Weissman estimator for extreme quantiles Extremes
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
4 2022
Do Machine Learning Approaches Offer Skill Improvement for Short-Term Forecasting of Wind Gust Occurrence and Magnitude?

Weather and Forecasting
  • Science: Physics: Meteorology. Climatology
  • Science: Geology
  • Science: Geology
1 2022
Asymptotic Extremal Distribution for Non-Stationary, Strongly-Dependent Data Advances in Pure Mathematics 3 2022
Estimation of the Pareto and related distributions – A reference-intrinsic approach Communications in Statistics - Theory and Methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2 2021
Citations Analysis
The category Science: Mathematics: Probabilities. Mathematical statistics 23 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Extreme Value Theory as a Risk Management Tool and was published in 1999. The most recent citation comes from a 2022 study titled A refined Weissman estimator for extreme quantiles. This article reached its peak citation in 2004, with 6 citations. It has been cited in 40 different journals, 7% of which are open access. Among related journals, the Extremes cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year