Linear Models
By Debasis Sengupta. Probability and Statistical Inference, Third Edition, 2018
711 citations recorded by the source corpus.
This research aims to identify claims modeling in the compulsory car insurance branch in Egyptian insurance companies by using the data of Misr Property Insurance Company and Suez-Canal Insurance Company, using generalized linear models, and applying the Invasive Weed Optimization Algorithm (IWO) in selecting variables in the Poisson regression model, to present a set of proposals for using the Poisson regression model in evaluating compulsory car insurance pricing in Egyptian insurance companies, as well as revealing the nature and importance of claims modeling for the compulsory car insurance branch and focusing on the effectiveness of using generalized linear models in modeling claims for the compulsory car insurance branch, Finally, studying the impact of applying generalized linear models on modeling claims in general insurance,models for the purpose of modeling claims in insurance companies.
View Paper: https://www.semanticscholar.org/paper/fba95c3e54c57f2a13b3c1ecbff3c61cb019c0bb
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- Jari Vauhkonen
- Matti Maltamo
- Petteri Packalen
- Timo Tokola
- Manisha Sanjay Sirsat
- M. Delgado
- Eva Cernadas
- Sadi Alawadi
Citations in the corpus
- Matrix Differential Calculus with Applications in Statistics and Econometrics (2019, background): “Useful sources are also Beckenbach and Bellman (1961), Marcus and Minc (1964), Bellman (1970, Chapters 7 and 8), and Wang and Chow (1994). §3. Further results on matrix-trace versions of the Cauchy-Schwarz inequality can be found in Liu and Neudecker (1995, 1999). §5. The idea of expressing a nonlin”
- Effects of pulse density on predicting characteristics of individual trees of Scandinavian commercial species using alpha shape metrics based on airborne laser scanning data (2008, methodology): “These static models were constructed in the study of Vauhkonen et al. (2008), the variables used in the functions being listed in Table 3.”
- An extensive experimental survey of regression methods (2019, methodology): “lm [11] Least absolute shrinkage and selection operator (LASSO) 21.”