Resources for Subject CT4 Models. Suggested additional reading for Subject CT4. Some title links lead to book details on the IFoA Library catalogue. From here. Type: Book; Author(s): Institute and Faculty of Actuaries; Date: ; Publisher: Institute and Faculty of Actuaries; Pub place: [London?]. Subject CT4: models: core technical: core reading for the exams. Add to My Bookmarks Export citation. Subject CT4: models: core technical: core.
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This course introduces the central statistical models that are applied by actuary in the insurance industry. The main aim is to introduce some of the applications of statistics in the insurance industry. A secondary aim is to help students who consider taking the actuary examinations in their preparations.
Learning outcomes – On successful completion of this module, students should be able to: Demonstrate the understanding of the concepts that appear in the units of Core Reading of the CT4 and CT6 papers that are listed below. Solve problems from old CT4 vore CT6 papers.
Teaching arrangement and method of instruction: The students are expected to read the relevant part of the Core Reading before the lecture. In class we will discuss the material, give examples of applications, and solve the previous week’s homework assignment. The homework assignment for the subsequent week will be handed.
Actuarial CT Subjects ActEd (IFoA)
This assignment will be based on questions from old papers. Decision theory and Bayesian statistics Units 1 and 5 of CT6.
Generalised linear models Unit 8 of CT6. Risk models Unit 3 of CT6.
Actuarial CT Subjects ActEd (IFoA) [PDF] – Все для студента
Credibility theory Unit 6 of CT6 6. Analysis of run-off triangles Unit 7 of CT6 7. Survival models Unit 5 of CT4. Estimating the lifetime distribution Fx t Unit 6 of CT4. The Cox regression model Unit 7 of CT4.
Subject CT4: Models Core Technical : Core Reading for the Examinations – Google Books
Exposed to risk Unit 10 of CT4. Graduation and statistical tests Unit 11 of CT4. Methods of graduation Unit 12 of CT4. From Data to Decision, by S. E Willmot, John Weily and Sons.
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