R Programming For Actuarial Science - Peter McQuire

R Programming For Actuarial Science Professional Resource Providing An Introduction To R Coding For Actuarial And Financial Mathematics Applications, With Real-life Examples R Programming For Actuarial Science Provides A Grounding In R Programming Applied To The Mathematical And Statistical Methods That Are Of Relevance For Actuarial Work. In R Programming For Actuarial Science, Readers Will Find: Basic Theory For Each Chapter To Complement Other Actuarial Textbooks Which Provide Foundational Theory In Depth. Topics Covered Include Compound Interest, Statistical Inference, Asset-liability Matching, Time Series, Loss Distributions, Contingencies, Mortality Models, And Option Pricing Plus Many More Typically Covered In University Courses.