Modelling Mortality with Actuarial Applications

Author: Angus S. Macdonald
Publisher: Cambridge University Press
ISBN: 110704541X
Format: PDF, ePub, Mobi
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Modern mortality modelling for actuaries and actuarial students, with example R code, to unlock the potential of individual data.

Predictive Modeling Applications in Actuarial Science

Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 1107029872
Format: PDF, ePub, Docs
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This book is for actuaries and financial analysts developing their expertise in statistics and who wish to become familiar with concrete examples of predictive modeling.

Predictive Modeling Applications in Actuarial Science Volume 1 Predictive Modeling Techniques

Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 1139992317
Format: PDF, ePub, Mobi
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Predictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a core actuarial skill - actuaries routinely apply predictive-modeling techniques in insurance and other risk-management applications. This book is for actuaries and other financial analysts who are developing their expertise in statistics and wish to become familiar with concrete examples of predictive modeling. The book also addresses the needs of more seasoned practising analysts who would like an overview of advanced statistical topics that are particularly relevant in actuarial practice. Predictive Modeling Applications in Actuarial Science emphasizes lifelong learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used by analysts to gain a competitive advantage in situations with complex data.

Mathematical and Statistical Methods for Actuarial Sciences and Finance

Author: Cira Perna
Publisher: Springer
ISBN: 3319050141
Format: PDF, Docs
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This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field and provides interesting scientific products in theoretical models and practical applications, as well as in scientific discussion of problems of national and international interest. This work reflects the results discussed at the biennial conference on Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), born at the University of Salerno in 2004.

Risk Modelling in General Insurance

Author: Roger J. Gray
Publisher: Cambridge University Press
ISBN: 0521863945
Format: PDF, Kindle
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A wide range of topics to give students a firm foundation in statistical and actuarial concepts and their applications.