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			Nov 03, 2025			
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						2019-2020 Academic Catalog [Archived Catalog]   
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                  ACSC 407 - Loss Models  Credits: Three (3) MATH 406 and ACSC 407 cover the learning objectives from Examination STAM (Short-Term Actuarial Models) of the Society of Actuaries. Topics include limited fluctuation (classical) credibility; Bayesian analysis using both discrete and continuous models; Blmann and Blmann-Straub models; conjugate priors in Bayesian analysis and in particular the Poisson-gamma model; empirical Bayesian methods in the nonparametric and semiparametric cases; simulation of both discrete and continuous random variables using the inversion method; simulation of discrete mixtures, decrement tables, the (a,b,0) class, normal and lognormal distributions; estimation of the number of simulations needed to obtain an estimate with a given error and a given degree of confidence; using simulation to determine the p-value for a hypothesis test; using the bootstrap method to estimate the mean squared error of an estimator.    Cross-listed: ACSC-607 Prerequisite: MATH 406 
				  
 
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