Jim Daniel's STAM Seminar Excerpts:
Short Study Notes
for Exam STAM
I, Jim (Dr. James W.) Daniel, A.S.A., taught face-to-face intensive exam-prep short courses, or ``seminars'', from 1994 until retiring from that business in August 2020, at which time I was teaching them for both SoA Exams LTAM and STAM. Leading up to that retirement, I created for both LTAM and STAM a collection of brief Seminar Excerpts; each presents the key concepts and intuitive ideas I found, from my long experience, troubled learners the most, presented in the style of my long-successful and popular face-to-face seminars.
STAM Seminar Excerpts range in length from 2 to 10 pages of text, averaging about 4.5 pages. Each Seminar Excerpt sells for $3, with a discount available for buying all 27 Seminar Excerpts. You can view a sample Seminar Excerpt by clicking here for Mixture distributions.
What follows ia list of the STAM Seminar Excerpts. Each title is link; click on it to go to a page with a brief summary and table of contents for that Seminar Except and an Add-to-Cart link to add that Excerpt to your Shopping Cart before checking out via PayPal. The products will be delivered as pdf files downloaded from Dropbox by a link Daniel will e-mail the buyer after payment is made by credit card over PayPal.
Here is the list of the 27 STAM Seminar Excerpts:
- How to order all 27 STAM Seminar Excerpts at a disount.
- Mixture distributions.
- (a,b,0) recursion problems.
- 0-modified (or truncated) frequency distributions.
- Aggregate severity, especially discrete type; aggregate deductibles.
- Risk measures; VaR and TVaR.
- Policy modifications in general.
- Major-medical-insurance calculations.
- Homeowners insurance calculations: coinsurance requirements.
- Estimates and estimators.
- Confidence intervals and approximate variances.
- Maximum likelihood estimation: method and properties.
- MLE confidence intervals; the Delta Method.
- Hypothesis testing ideas.
- The Billy Problem: what both the Bayesian approach and the credibility approach seek to solve.
- The Bayesian approach to updating expectations.
- Classical limited-fluctuation creditbility.
- Buhlmann(-Straub) credibility.
- Non-parametric and semi-parametric empirical Bayes.
- The loss-reserving problem.
- The expected-loss-ratio method for loss reserves.
- The chain-ladder method for loss reserves.
- The Bornheutter-Ferguson method for loss reserves.
- The average-cost-per-claim method for loss reserves.
- Rate-making for the overall average rate.
- Relativities (or differentials) for risk classifications.
- Balancing back to finalize rates.