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Actuaries --- Actuarial science --- Actuariat --- Actuaires --- Actuarial science. --- Actuaries. --- Actuariële wetenschappen. --- Society of Actuaries --- Society of Actuaries.
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Actuarial science --- Demography --- Actuariat --- Démographie --- Mathematical models --- Modèles mathématiques
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Actuaries --- Actuarial science --- Actuariat --- Actuaires --- Actuarial science. --- Actuaries. --- Actuariële wetenschappen. --- Society of Actuaries --- Society of Actuaries.
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Actuaries --- Actuarial science --- Actuariat --- Actuaires --- Society of Actuaries --- Society of Actuaries.
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"This book aims to provide a broad introduction to computational aspects of actuarial science, in the R environment. We assume that the reader is either learning, or is familiar with actuarial science. It can be seen as a companion to standard textbooks on actuarial science. This book is intended for various audiences: students, researchers, and actuaries. As explained in cite Kendrick et al. (2006) (discussing the importance of computational economics) our thesis is that computational economics o ers a way to improve this situation and to bring new life into the teaching of economics in colleges and universities [...] computational economics provides an opportunity for some students to move away from too much use of the lecture-exam paradigm and more use of a laboratorypaper paradigm in teaching under graduate economics. This opens the door for more creative activity on the part of the students by giving them models developed by previous generations and challenging them to modify those models." Based on the assumption that the same holds for computational actuarial science, we decided to publish this book. As claimed by computational scientists, computational actuarial science might simply refer to modern actuarial science methods. Computational methods started probably in the 1950s with Dwyer (1951) and von Neumann (1951). The rst one emphasized the importance of linear computations, and the second one the importance of massive computations, using random number generations (and Monte Carlo methods), while (at that time) access to digital computers was not widespread"--
Actuarial science --- Actuariat --- Actuarial science. --- Statistics --- Insurance --- Mathematics --- 368.00 --- Theorieën over verzekeringen. Actuariële wetenschappen. --- Theorieën over verzekeringen. Actuariële wetenschappen
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This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and case studies, providing numerical illustrations using the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. This is the first of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data analytics with applications to P & C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.
Actuarial science. --- Insurance --- Linear models (Statistics) --- Statistical methods. --- Actuariat. --- Assurance --- Linear models (Statistics). --- Méthodes statistiques. --- Neural Networks, Computer. --- Neural networks (Computer science). --- Réseaux neuronaux (Informatique).
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Stochastic processes --- Actuarial mathematics --- Risk (Insurance) --- Risque (Assurance) --- 368 --- 519.218 --- 10.01.c --- Insurance --- Verzekeringswezen --- Special stochastic processes --- Verzekeringswiskunde ; Risico- en credibiliteitstheorie --- Risk --- 519.218 Special stochastic processes --- 368 Verzekeringswezen --- Risk (Insurance). --- Actuarial science. --- Risque (assurance) --- Actuariat.
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Bevolking --- Colloques --- Colloquia --- Dood --- Mort --- Population --- Mortality --- Research --- Methodology --- Congresses --- -ABB9401 --- 10.03.c --- Mortality, Law of --- Death --- Demography --- Death (Biology) --- -Methodology --- -Congresses --- Actuariaat ; Constructie (Sterfte)tafels --- ABB9401 --- Research&delete& --- Methodology&delete& --- Mortality - Research - Methodology - Congresses --- Actuariat --- Assurance-vie --- Loi de la mortalite
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Insurance, Disability --- Actuarial science --- Actuariat --- Statistical methods --- Actuarial science. --- Statistical methods. --- -AA / International- internationaal --- 303.8 --- 368.42 --- 368.01 --- Disability income insurance --- Invalidity insurance --- Insurance --- Statistics --- Econometrische behandeling van een onderwerp. --- Ziekte- en invaliditeitsverzekering. Ziekenfondsen. --- Mathematics --- Disability insurance --- AA / International- internationaal --- Econometrische behandeling van een onderwerp --- Ziekte- en invaliditeitsverzekering. Ziekenfondsen --- Insurance, Disability - Statistical methods.
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Actuarial science --- Life insurance --- Insurance --- Actuariat --- Assurance-vie --- Assurance --- Periodicals. --- Mathematics --- Periodicals --- Périodiques --- Mathématiques --- Mathematics. --- Business, Economy and Management --- Finance --- Périodiques --- Mathématiques --- CAMUNIPRE-E EJECONO EJMATHE EJSTATI EPUB-ALPHA-A EPUB-PER-FT --- Actuarial science - Periodicals. --- Life insurance - Mathematics - Periodicals.
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