The Exam STAM 6-Week Bootcamp

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The Exam STAM Bootcamp provides a six-week high intensive program offering live seminars, Open Forums, Assessment Quizzes, Q&A Email Correspondence, Online Office Hours, Private Mini-Sessions, and other key exam preparation features to place students in the strongest position to pass STAM in June

Dr. Yvonne Chueh, ASA, Ph.D., is a Full Professor of Actuarial Science at Central Washington University with more than 20 years of experience in preparing students to pass their SOA exams. She has served as a Council Member and Chair of the SOA Education & Research Special Interest Section. Dr. Chueh’s knowledge of STAM material is unparalleled and during this five-week intensive bootcamp will use her tremendous STAM teaching experience to provide a personalized, hands-on approach in leading students to be in strong position to pass Exam STAM in June. Learn more

The Exam STAM 6-Week Bootcamp offers students the following:

  1. Weekly 3 hour live lectures integrating concept building with significant focus on problem solving improvement
  2. Open Forum immediately following each weekly lecture in which students can ask Dr. Chueh questions related to any topic/problem solving
  3. Weekly online assessment quizzes to monitor students progress
  4. Weekly Online Office Hours with Dr. Chueh
  5. Mini-Sessions in which students can schedule private sessions with Dr. Chueh
  6. Q & A Email Correspondence in which students can email Dr. Chueh questions with quick reply back
  7. Access to STAM Program Google Drive offering a significant amount of problem solving content
  8. Students can join The Exam STAM Discussion Group open only to program members to communicate with each other and Dr. Chueh
  9. All weekly lectures recorded and available to students


Live Classes & Subjects

Seminar 1: 4/23
10:00 AM - 1:00 PM EST
Severity, Frequency, and Cost Per Loss v.s. Per Payment Variables
• Severity Models: study the random variable of loss amount, with deductible or limit or both.
• Frequency Models: study the random variable of loss count, with deductible or limit or both. The class of (a,b,0) and (a,b,1) are the main model to master.
• Cost per loss and Cost per payment variables and their probability distributions, expected values, variance.
Seminar 2: 4/30
10:00 AM - 1:00 PM EST
Aggregate Claims, Compound Variables with Modified Distributions
• Aggregate Models: Express an aggregate claim model using primary and secondary distributions. Relate to their parameters or statistics for collective risk models. Recognize and define the distribution of an aggregate claim variable.
• Relations of severity, frequency and aggregate models: Include deductibles and policy limits to modify probability distributions of loss variables to claim variables under inflation.
Seminar 3: 5/7
10:00 AM - 1:00 PM EST
Tail Distributions and Parametric Model Fitting and Testing
• Risk Measures: Define and calculate VaR, and TVaR. Solve related problems in risk measures.
• Parametric Models: Estimate the parameters of failure time and loss distributions using:a) Maximum likelihoodb) Method of momentsc) Percentile matchingd) Bayesian procedures
• Accept or reject a fitted model and/or compare models: by Graphical procedures or one of the following: Kolmogorov-Smirnov test, Chi-square goodness-of-fit test, Likelihood ratio test, Schwarz Bayesian Criterion, Akaike Information Criterion
Seminar 4: 5/14
10:00 AM - 1:00 PM EST
Credibility Theory and Applications
• Credibility Theory: Apply limited fluctuation (classical) credibility including criteria for both full and partial credibility. Perform Bayesian analysis using both discrete and continuous models.
• Credibility Theory: Apply Bühlmann and Bühlmann-Straub models and understand the relationship of these to the Bayesian model. Apply conjugate priors in Bayesian analysis and in particular the Poisson-gamma model. Apply empirical Bayesian methods in the nonparametric and semiparametric cases.
Seminar 5: 5/21
10:00 AM - 1:00 PM EST
Rate Making, Reserving, and Insurance Coverages
• Casualty Insurance Topics
• Medical and Dental Coverage, Property and Casualty Coverage
• Pricing: Pure Premium and Loss Ratio
• Reserving: Estimating unpaid losses from a run-off triangle, using
• Chain ladder
• Average cost per claim
• Bornhuetter Ferguson
Seminar 6: 5/28
10:00 AM - 1:00 PM EST
Review and Q&A

Join The Exam STAM 6-Week Bootcamp to Greatly Advance Both Your Conceptual Understanding of STAM Topics and Problem Solving Skills to Pass Exam STAM During the June Sitting