Table of Contents #

1. Exam Overview
2. Linear Models and Regression Analysis
   • Multiple Linear Regression
   • Model Evaluation Metrics
3. Generalized Linear Models (GLMs)
   • Model Components
   • Common Link Functions
   • Deviance
   • Parameter Estimation
4. Time Series Analysis
   • Stationarity Tests
   • ARIMA Models
   • Forecasting
5. Advanced Regression Techniques
   • Principal Component Analysis (PCA)
   • Ridge Regression
   • Lasso Regression
   • Elastic Net
6. Model Validation Techniques
   • Cross-Validation
   • Bootstrap Methods
7. Advanced Statistical Concepts
   • Mixed Effects Models
   • Survival Analysis
8. Model Selection Techniques
   • Stepwise Selection
   • Information Criteria Comparison
9. Study Strategies
10. Essential R Functions
11. Exam Tips

Exam Overview #

The Advanced Statistics for Actuarial Modeling (ASTAM) exam tests candidates on advanced statistical techniques used in actuarial work, with a focus on model selection, validation, and advanced regression techniques. The exam is 3 hours and 15 minutes long with a mix of multiple-choice and written-answer questions.