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™ 10.2 and modelling modules
2. Modelling using the Link Ratio Techniques and Extended Link Ratio Family modules
3. Introduction to the Probabilistic Trend Family modelling framework
4. Modelling real data (CTP) in the PTF modelling framework
- 6.1 ABC - manual modelling, constraints, model templates
- 6.2 ABC - wizard, simulations, comparison with ELRF
8. Further PTF Modelling Examples
10. Uneven Sampling periods, updating, and various other topics
6. Case Study ABC
6.1 ABC - manual modelling, constraints, model templates
Modelling is done from first principles as video 4.1. Parameters are added according to trend (or level) changes.
Parameter constraints can be set up manually or automatically through the optimise routine (assuming constraints are permitted in modelling preferences - the default). Removing of constraints is also demonstrated.
The video illustrating ABC, modelling, constraints and model templates is available here. (20 minutes).
6.2 ABC - wizard, simulations, comparison with ELRF
Constraints are briefly revisited. Optimisation options are demonstrated with the different constraint options. The purpose of constraints and conditions where constraints apply are also discussed. Constraints are most often found for accident levels (for example, to account for unusual events) or in calendar periods (to revert back to previous trends after a legislative change for example).
ELRF is presented for comparison with the PTF modelling framework. However, we do not have any control over the measured trend nor do we know what trend has been measured.
Simulations are conducted from the PTF model. If the model is a good representation of the data, then the simulations and the data should be indistinguishable. The forecasts (total reserve distribution) should be statistically the same (which they are).
Future scenario construction is also done for the PTF model - in this case changing iota trends.
The video illustrating the wizard, simulations, and ELRF can be viewed here. (20 minutes).
