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Swing Courses

Upper Division

An introduction to various statistical, financial, and mathematical models used to determine insurance premiums. These models identify contingent risks and are based upon individual risk model frameworks. Prereq: Stat 4843 or Stat 6943. 3 s.h. (syllabus)

An introduction to multiple life functions, multiple decrement models, valuation theory for pension plans, insurance models including expenses, nonforfeiture benefits and dividends, and other means to determine benefit premiums. Prereq: Stat 6904. 3 s.h. (syllabus)

An introduction to the development of loss and severity models used in actuarial science and the statistical methods used to estimate the parameters of such models. Additional topics, including credibility and simulation, may be covered. Prereq: Math 5844/Stat 4844, Stat 6944, or the equivalent. 3 s.h. (syllabus)

An overview of techniques in data analysis. Includes strong emphasis on visual interpretation of data. Topics include one or more samples, proportions, odds, regression, and multiple comparisons. Prereq.: Math 5844/Stat 4844; or consent of graduate coordinator. 3 s.h. (syllabus)

Random variables, their distributions and densities. Families and exponential families of distribution. Independence, joint distributions, conditional probability and expectation. Convergence and limit theorems. Prereq.: Math. 3751; or consent of graduate coordinator. Credit will not be given for both 5843 and 6943. 3 s.h. (syllabus)

A study of theories and properties of statistical hypotheses testing and estimation, including maximum likelihood method, likelihood ratio tests, sufficiency, and related topics. Prereq.: Stat 4843 or 6943; or consent of graduate coordinator. Credit will not be given for both 4844 and 6944. 3 s.h. (syllabus)

An advanced study of stochastic processes. Topics include: Markov chains, Poisson processes, nonhomogeneous Poisson processes, renewal theory, conditional probability and expectation. Prereq.: Stat 4843 or 6943; or consent of graduate coordinator. 3 s.h. (syllabus)

Methods for survey design and analysis. Topics include basic theory of surveys, descriptions of data, sampling distributions, design of survey, sources of error, questionnaire design, and sampling techniques. Prereq.: Stat 4817; or consent of graduate coordinator. 3 s.h. (syllabus)

A study of linear statistical methods of the relationship between analysis of variance and regression and the assumptions underlying the analysis of variance. Prereq.: Math 3720 and Math 5844/Stat 4844 or 6944; or consent of graduate coordinator. 3 s.h. (syllabus)

Fundamental principles of design and analysis of experiments. Topics include blocking, multi-factor testing, multiple comparisons, repeated measures, crossing and nesting designs. Prereq.: Math 5844/Stat 4844 or 6944; or consent of graduate coordinator. 3 s.h. (syllabus)

A study of modeling and evaluation of derivatives and bonds and risk management using derivatives. Topics cover various models in asset evaluation, such as bond price models, the Black-Scholes model, diffusion processes, and risk management. Also listed as Econ 6988. Prereq: Stat 4843 or Stat 6943 or Econ 6976. 3 s.h. (syllabus)