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Description Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Interdisciplinary Statistics)

Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students’ existing knowledge of probability and statistics by establishing a solid and thorough understanding of these methods. It also emphasizes the wide variety of practical situations in insurance and actuarial science where these techniques may be used. Although some chapters are linked, several can be studied independently from the others. The first chapter introduces claims reserving via the deterministic chain ladder technique. The next few chapters survey loss distributions, risk models in a fixed period of time, and surplus processes, followed by an examination of credibility theory in which collateral and sample information are brought together to provide reasonable methods of estimation. In the subsequent chapter, experience rating via no claim discount schemes for motor insurance provides an interesting application of Markov chain methods. The final chapters discuss generalized linear models and decision and game theory. Developed by an author with many years of teaching experience, this text presents an accessible, sound foundation in both the theory and applications of actuarial science. It encourages students to use the statistical software package R to check examples and solve problems.

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Download [PDF] Statistical And Probabilistic Methods In ~ Statistical and Probabilistic Methods in Actuarial Science Author: Philip J. Boland Publish On: 2007-03-05 Developed by an author with many years of teaching experience, this text presents an accessible, sound foundation in both the theory and applications of actuarial science.

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Statistical and Probabilistic Methods in Actuarial Science ~ Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Interdisciplinary Statistics) - Kindle edition by Boland, Philip J.. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Interdisciplinary .

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Statistical and Probabilistic Methods in Actuarial Science ~ Statistical and Probabilistic Methods in Actuarial Science, Chapman & Hall/CRC [Outcome C2. Chapter 1.] • [K] Nelsen, R.B. (2006), An Introduction to Copulas, Springer, 2nd Edition [Outcome B5. Chapter 2.

Statistical and Probabilistic Methods in Actuarial Science ~ Book Description. Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students’ existing knowledge of probability and statistics by establishing a solid and thorough understanding of these methods.

Interdisciplinary Statistics: Statistical and ~ Interdisciplinary Statistics: Statistical and Probabilistic Methods in Actuarial Science. By Philip J. Boland, Chapman & Hall, 2007. 351pp. ISBN: 9781584886952

Statistical and Probabilistic Methods in Actuarial Science ~ Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students’ existing knowledge of probability and statistics by establishing a solid and thorough understanding of these methods.

Statistical and Probabilistic Methods in Actuarial Science ~ Statistical and Probabilistic Methods in Actuarial Science (Chapman & Hall/CRC Interdisciplinary

actuarial science - Wiktionary ~ Noun []. actuarial science (uncountable) (applied mathematics, insurance, finance) The discipline within applied mathematics dealing with risk assessment and the modelling of uncertainty; the rigorous application of mathematical and statistical methods to assess risk, in industries including insurance and finance.2007, Philip J. Boland, Statistical and Probabilistic Methods in Actuarial .