دورية أكاديمية

Estimation of the parameters of generalized linear models in the analysis of actuarial risks

التفاصيل البيبلوغرافية
العنوان: Estimation of the parameters of generalized linear models in the analysis of actuarial risks
المؤلفون: Roman Panibratov, Petro Bidyuk
المصدر: Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 2, Pp 139-148 (2023)
بيانات النشر: Igor Sikorsky Kyiv Polytechnic Institute, 2023.
سنة النشر: 2023
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: actuarial risk, generalized linear models, simulation modeling, exponential family of distributions, iterative-recursive weighted least squares method, adam method, monte carlo method for markov chains, Electronic computers. Computer science, QA75.5-76.95
الوصف: Methods of estimating the parameters of generalized linear models for the case of paying insurance premiums to clients are considered. The iterative-recursive weighted least squares method, the Adam optimization algorithm, and the Monte Carlo method for Markov chains were implemented. Insurance indicators and the target variable were randomly generated due to the problem of public access to insurance data. For the latter, the normal and exponential law of distribution and the Pareto distribution with the corresponding link functions were used. Based on the quality metrics of model learning, conclusions were made regarding their construction quality.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: Ukrainian
تدمد: 1681-6048
2308-8893
Relation: http://journal.iasa.kpi.ua/article/view/285518; https://doaj.org/toc/1681-6048; https://doaj.org/toc/2308-8893
DOI: 10.20535/SRIT.2308-8893.2023.2.10
URL الوصول: https://doaj.org/article/c3f4a86a960c46439dd7d7718b6a5071
رقم الأكسشن: edsdoj.3f4a86a960c46439dd7d7718b6a5071
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16816048
23088893
DOI:10.20535/SRIT.2308-8893.2023.2.10