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Principles of Short Term Actuarial Mathematics II
ACTS 6305
School of Natural Sciences and Mathematics
The purpose of this class is to further develop the students' knowledge of construction and selection of parametric models using the Maximum Likelihood Estimator (MLE) method, using the Bayesian estimation technique as well as model selection using hypothesis testing and score-based approaches. In addition, loss estimation using credibility theory, insurance and reinsurance coverages, as well as rate making and loss reserving of property and casualty insurance will be discussed. This class covers parts of SOA Exams FAM and ASTAM; CAS Exams MAS I, MAS II, and 5. 3 credit hours.
Prerequisites: STAT 5352 and ACTS 6304 and instructor consent required.
Offering Frequency: Each year
Grades: 22
Median GPA: A-
Mean GPA: 3.622
Click a checkbox to add something to compare.
Principles of Short Term Actuarial Mathematics II
ACTS 6305
School of Natural Sciences and Mathematics
The purpose of this class is to further develop the students' knowledge of construction and selection of parametric models using the Maximum Likelihood Estimator (MLE) method, using the Bayesian estimation technique as well as model selection using hypothesis testing and score-based approaches. In addition, loss estimation using credibility theory, insurance and reinsurance coverages, as well as rate making and loss reserving of property and casualty insurance will be discussed. This class covers parts of SOA Exams FAM and ASTAM; CAS Exams MAS I, MAS II, and 5. 3 credit hours.
Prerequisites: STAT 5352 and ACTS 6304 and instructor consent required.
Offering Frequency: Each year
Grades: 22
Median GPA: A-
Mean GPA: 3.622
Click a checkbox to add something to compare.