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Computational Actuarial Science with R

A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the;

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Computational Actuarial Science with R

A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the;

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Statistical Computing with R, Second Edition

in computational statistics or for self-study, Statistical Computing with R, Second Edition provides a balanced, accessible introduction to computational;

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An Introduction to Computational Risk Management of Equity-Linked Insurance

computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature;

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An Introduction to Computational Risk Management of Equity-Linked Insurance

computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial;

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Statistical and Probabilistic Methods in Actuarial Science

foundation in both the theory and applications of actuarial science. It encourages students to use the statistical software package R to check;

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Some Recent Researches in the Theory of Statistics and Actuarial Science

of value to anyone with an interest in the actuarial profession, statistics and the history of finance.;

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Actuarial Science

Since actuarial education was introduced into China in the 1980s, Chinese scholars have paid greater attention to the theoretical research;

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Actuarial Mathematics for Life Contingent Risks

The substantially updated third edition of the popular Actuarial Mathematics for Life Contingent Risks is suitable for advanced;

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Beginning Data Science in R 4

computational skills and usually a minimum of programming. After reading and using this book, you'll have what you need to get started with R;

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Nonlife Actuarial Models

provided, with many exercises adapted from past Exam C questions. Computational notes on the use of Excel are included. Teaching slides are;

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The History of Actuarial Science Vol V

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are;

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The History of Actuarial Science Vol IV

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are;

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The History of Actuarial Science IX

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are;

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The History of Actuarial Science Vol III

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are;

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The History of Actuarial Science Vol I

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are;

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The History of Actuarial Science Vol II

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are;

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The History of Actuarial Science Vol VIII

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are;

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The History of Actuarial Science Vol X

A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are;

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Loss Models

Erlang distributions * Computational and analytical methods for aggregate claim models * Counting processes * Compound distributions with time;

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Reviews in Computational Chemistry, Volume 26

Computational chemistry is increasingly used in conjunction with organic, inorganic, medicinal, biological, physical, and analytical;

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Beginning Data Science in R 4

mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. This book is based on a;

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Applied Mathematics

. Computational modeling techniques and actuarial science rely entirely on applied mathematics to analyze data and information. The field of applied;

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International Series on Actuarial Science

covers much of the international syllabuses for professional actuarial examinations in risk models, but goes into further depth, with worked;

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Advances in Econometrics, Operational Research, Data Science and Actuarial Studies

in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to;

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Actuarial Science

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Actuarial Science

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