ICRFS-Plus™ Training videos for new users

If for any reason you are unable to view the training or demonstration videos, please contact our support staff at support@insureware.com and we will arrange to send you a copy of the videos on CD-Rom. You will be able to run the videos from the CD.

The training videos should be used for hands on training. We suggest you run the videos on a separate computer using a data projector, and train as a group.

The only way you will learn all the new concepts and be able to exploit all the immense benefits is by using the system. Experiential learning is imperative.

It is important that you study the videos in sequential order as set out below.

Table of Contents

1. Introduction to ICRFS-Plus™ 10.3 and modelling modules

• 1.1 Introduction to ICRFS-Plus 10.3 and database structure
• 1.2 Overview of ICRFS-Plus 10.3 Modelling frameworks
• 1.3 Uncertainty and Variability
• 1.4 Manual creation of Triangle Groups

2. Modelling using the Link Ratio Techniques and Extended Link Ratio Family modules

• 2.1 Introduction to the Link Ratio Techniques module and the Extended Link Ratio Family module
• 2.2 The Mack method and ELRF
• 2.3 Other models in the ELRF modelling framework

3. Introduction to the Probabilistic Trend Family modelling framework

• 3.1 Introduction to the Probabilistic Trend Family modelling framework, the three directions, and trends
• 3.2 Modelling M3IR5 in the PTF Framework

4. Modelling real data (CTP) in the PTF modelling framework

• 4.1 Manual modelling of CTP
• 4.2 Modelling CTP using the Wizard and ELRF

5. Case Study: CS5

• 5.1 CS5 and heteroscedascity
• 5.2 CS5 and varying parameters

6. Case Study: ABC

• 6.1 ABC - manual modelling, constraints, model templates
• 6.2 ABC - wizard, simulations, comparison with ELRF

7. Modelling Wizard

• 7.1 Return to Triangle Group CS5 and the Modelling Wizard
• 7.2 Modelling wizard continued... Triangle Group SDF

8. Further PTF Modelling Examples

• 8.1 CompA, SDF, WCom
• 8.2 SDF and WCom revisited
• 8.3 Case Study LR High
• 8.4 Accident year hetero

9. Layers and the PALD Module

10. Uneven Sampling periods, updating, and various other topics

• 10.1 Uneven Sampling Periods and collapsing
• 10.2 Accident Year Hetero, Model Parameters, and the testing the Wizard

11. Introduction to MPTF

• 11.1 LOB 1 and LOB 3 (part 1)
• 11.2 LOB 1 and LOB 3 (part 2)

12. MPTF Modelling Framework

• 12.1 MPTF Modelling principles using 1M 1Mxs1M and 2M
• 12.2 Case Study LOB A B C D ... J

13. Advanced MPTF modelling

• 13.1 Credibility Modelling Compa Maa951 and All 1M revisited
• 13.2 Alpha differences: Case Study Sad and Sam
• 13.3 MPTF Net versus Gross and Clusters Revisited
• 13.4 Credibility modelling small arrays

14. Importing and Reporting

• 14.1 COM Importing and Schedule P
• 14.2 Report Templates