Insurance data often exhibits unique characteristics such as deductibles, policy limits, and truncation, requiring specialized statistical methods to model and analyze losses and survival outcomes. This course introduces statistical methods for modelling and analyzing loss and survival data in actuarial science. Key topics include product-limit estimation, empirical estimation methods, moment and percentile estimation, maximum likelihood estimation, and simulation techniques. Emphasis is placed on understanding the theoretical foundations of these methods and applying them to real loss data using R.
Insurance data often exhibits unique characteristics such as deductibles, policy limits, and truncation, requiring specialized statistical methods to model and analyze losses and survival outcomes. This course introduces statistical methods for modelling and analyzing loss and survival data in actuarial science. Key topics include product-limit estimation, empirical estimation methods, moment and percentile estimation, maximum likelihood estimation, and simulation techniques. Emphasis is placed on understanding the theoretical foundations of these methods and applying them to real loss data using R.
