Modelling Mortality with Actuarial Applications

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Release : 2018-05-03
Genre : Business & Economics
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Book Rating : 41X/5 ( reviews)

Modelling Mortality with Actuarial Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modelling Mortality with Actuarial Applications write by Angus S. Macdonald. This book was released on 2018-05-03. Modelling Mortality with Actuarial Applications available in PDF, EPUB and Kindle. Modern mortality modelling for actuaries and actuarial students, with example R code, to unlock the potential of individual data.

Modelling the Impact of Risk Factors on Mortality with Actuarial Applications

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Release : 2005
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Book Rating : /5 ( reviews)

Modelling the Impact of Risk Factors on Mortality with Actuarial Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modelling the Impact of Risk Factors on Mortality with Actuarial Applications write by Hyuk-Sung Kwon. This book was released on 2005. Modelling the Impact of Risk Factors on Mortality with Actuarial Applications available in PDF, EPUB and Kindle.

Actuarial Principles

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Release : 2021-10-29
Genre : Business & Economics
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Book Rating : 735/5 ( reviews)

Actuarial Principles - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Actuarial Principles write by Andrew Leung. This book was released on 2021-10-29. Actuarial Principles available in PDF, EPUB and Kindle. Actuarial Principles: Lifetables and Mortality Models explores the core of actuarial science: the study of mortality and other risks and applications. Including the CT4 and CT5 UK courses, but applicable to a global audience, this work lightly covers the mathematical and theoretical background of the subject to focus on real life practice. It offers a brief history of the field, why actuarial notation has become universal, and how theory can be applied to many situations. Uniquely covering both life contingency risks and survival models, the text provides numerous exercises (and their solutions), along with complete self-contained real-world assignments. Provides detailed coverage of life contingency risks and survival models Presents self-contained chapters with coverage of key topics from both practitioner and theoretical viewpoints Includes numerous real world exercises that are accompanied by enlightening solutions Covers useful background information on how and why the subject has evolved and developed

Regression Modeling with Actuarial and Financial Applications

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Release : 2010
Genre : Business & Economics
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Book Rating : 119/5 ( reviews)

Regression Modeling with Actuarial and Financial Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Modeling with Actuarial and Financial Applications write by Edward W. Frees. This book was released on 2010. Regression Modeling with Actuarial and Financial Applications available in PDF, EPUB and Kindle. This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.

Financial and Actuarial Statistics

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Release : 2013-11-12
Genre : Mathematics
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Book Rating : 808/5 ( reviews)

Financial and Actuarial Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Financial and Actuarial Statistics write by Dale S. Borowiak. This book was released on 2013-11-12. Financial and Actuarial Statistics available in PDF, EPUB and Kindle. Understand Up-to-Date Statistical Techniques for Financial and Actuarial Applications Since the first edition was published, statistical techniques, such as reliability measurement, simulation, regression, and Markov chain modeling, have become more prominent in the financial and actuarial industries. Consequently, practitioners and students must acquire strong mathematical and statistical backgrounds in order to have successful careers. Financial and Actuarial Statistics: An Introduction, Second Edition enables readers to obtain the necessary mathematical and statistical background. It also advances the application and theory of statistics in modern financial and actuarial modeling. Like its predecessor, this second edition considers financial and actuarial modeling from a statistical point of view while adding a substantial amount of new material. New to the Second Edition Nomenclature and notations standard to the actuarial field Excel exercises with solutions, which demonstrate how to use Excel functions for statistical and actuarial computations Problems dealing with standard probability and statistics theory, along with detailed equation links A chapter on Markov chains and actuarial applications Expanded discussions of simulation techniques and applications, such as investment pricing Sections on the maximum likelihood approach to parameter estimation as well as asymptotic applications Discussions of diagnostic procedures for nonnegative random variables and Pareto, lognormal, Weibull, and left truncated distributions Expanded material on surplus models and ruin computations Discussions of nonparametric prediction intervals, option pricing diagnostics, variance of the loss function associated with standard actuarial models, and Gompertz and Makeham distributions Sections on the concept of actuarial statistics for a collection of stochastic status models The book presents a unified approach to both financial and actuarial modeling through the use of general status structures. The authors define future time-dependent financial actions in terms of a status structure that may be either deterministic or stochastic. They show how deterministic status structures lead to classical interest and annuity models, investment pricing models, and aggregate claim models. They also employ stochastic status structures to develop financial and actuarial models, such as surplus models, life insurance, and life annuity models.