Modeling with Weibull-Pareto Models

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Cite
Scollnik, David P. M., and Chenchen Sun. “Modeling With Weibull-Pareto Models”. North American Actuarial Journal, vol. 16, no. 2, 2012, pp. 260-72, https://doi.org/10.1080/10920277.2012.10590640.
Scollnik, D. P. M., & Sun, C. (2012). Modeling with Weibull-Pareto Models. North American Actuarial Journal, 16(2), 260-272. https://doi.org/10.1080/10920277.2012.10590640
Scollnik, David P. M., and Chenchen Sun. “Modeling With Weibull-Pareto Models”. North American Actuarial Journal 16, no. 2 (2012): 260-72. https://doi.org/10.1080/10920277.2012.10590640.
Scollnik DPM, Sun C. Modeling with Weibull-Pareto Models. North American Actuarial Journal. 2012;16(2):260-72.
Journal Category
Social Sciences
Finance
Refrences
Title Journal Journal Categories Citations Publication Date
10.2143/AST.27.1.563211 ASTIN Bulletin
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Social Sciences: Statistics
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
1997
10.2143/AST.27.1.563210 ASTIN Bulletin
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Social Sciences: Statistics
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
1997
Composite Lognormal–Pareto model with random threshold 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
56 2011
The Weibull–Pareto Composite Family with Applications to the Analysis of Unimodal Failure Rate Data Communications in Statistics - Theory and Methods
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
15 2009
On composite lognormal-Pareto models 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
110 2007
Refrences Analysis
The category Social Sciences: Economic theory. Demography: Economics as a science 7 is the most frequently represented among the references in this article. It primarily includes studies from Scandinavian Actuarial Journal The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Two-sided distributions with applications in insurance loss modeling Statistical Methods & Applications
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2024
A new class of composite GBII regression models with varying threshold for modeling heavy-tailed data Insurance: Mathematics and Economics
  • Science: Mathematics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Economic theory. Demography: Economics as a science
  • Social Sciences: Statistics
  • Social Sciences: Commerce: Business
  • Social Sciences: Economic theory. Demography: Economics as a science
2024
Women and insurance pricing policies: a gender-based analysis with GAMLSS on two actuarial datasets

Scientific Reports
  • Medicine
  • Science
  • Science: Science (General)
2024
A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data Journal of Applied Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2024
Loss modeling with many-parameter distributions 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
2024
Citations Analysis
The category Science: Mathematics 38 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Bayesian estimators of the lognormal–Pareto composite distribution and was published in 2013. The most recent citation comes from a 2024 study titled A new class of composite GBII regression models with varying threshold for modeling heavy-tailed data. This article reached its peak citation in 2021, with 10 citations. It has been cited in 24 different journals, 29% of which are open access. Among related journals, the SSRN Electronic Journal cited this research the most, with 8 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year