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Course Criteria
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1.00 - 3.00 Credits
Prerequisite: BA 2780, Math 2314, or equivalent. Concurrent enrollment in QMBE 2786. Laboratory course will demonstrate business applications or principles covered in Math 2314 and QMBE 2786. Students will use statistical software packages to analyze a variety of business-oriented datasets and produce appropriate reports.
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3.00 Credits
Gives the statistical foundation needed for managerial decision making and is designed to prepare students for graduate study in business. Covers topics in probability, random variables, sampling theory, statistical inference and regression analysis. Not open to College of Business undergraduate majors. May not be taken for graduate credit. Students may not receive credit for both QMBE 2785 and QMBE 2786 and this course.
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3.00 Credits
Prerequisite: QMBE 2786 or equivalent or consent of department. Matrix techniques; linear regression and correlation theory, heteroscedasticity, autocorrelation and multicollinearity; two-stage least squares, maximum likelihood techniques; K-class estimators; computer use, research methods, and data sources.
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3.00 Credits
Prerequisite: QMBE 2786 or equivalent or consent of department. Decision under uncertainty; conditional, joint and marginal probability; Bayes Theorem; empirical and theoretical frequency distributions; statistical decision rules with binomial sampling and Bernouilli processes; statistical decision rules with normal sampling, and the Central Limit Theorem; suspension of judgment.
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3.00 Credits
Prerequisite: ECON 3781 or MATH 2020 or 2107. Mathematics and applications of the following topics: Multivariate calculus, integral calculus, matrix algebra, differential equations, and non-linear programming.
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3.00 Credits
Prerequisites: QMBE 2786 and 6280. A review of basic statistical inference and treatment of the general linear regression model and its extensions. Topics include probability and distribution theory, estimation and hypothesis testing, linear regression, heteroskedasticy and serial correlation, varying parameter models, systems of linear regressions, nonlinear estimation and stochastic regressors.
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3.00 Credits
Prerequisite: QMBE 6281. Topics in econometric analysis, including simultaneous equation models, time series analysis and distributed lag models, multiple time series, qualitative and limited dependent variable models, markets in disequilibrium, switching regressions, multicollinearity and robust estimation.
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3.00 Credits
Prerequisite: QMBE 6282. Applications of econometric methods to empirical problems in financial economics. Topics, selected by the instructor, will be drawn from recent literature and will illustrate the use of new and previously developed econometric methods.
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1.00 - 3.00 Credits
An intensive study of selected special topics in auantitative methods. Topics will vary based on contemporary needs as dictated by the discipline as well as the interests of the students and the instructor. Section number will correspond with credit to be earned.
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3.00 Credits
Prerequisite: QMBE 6280. Mathematical tools and techniques for theory in financial economics; logical reasoning and construction of proofs; geometric intuition of mathematical concepts. Topics: linear spaces and linear algebra, topological concepts of metric spaces, functions and correspondences, convex analysis, optimization.
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