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2005-2006 CATALOG


Quantitative Methods–Business and Economics

   QMBE 2785 Introduction to Business and Economic Statistics        3 cr.
Offered each semester. Prerequisite: BA 2780, MATH 1115 or 1125 and 1140. Descriptive statistics including measures of location and dispersion; classical probability theory; statistical inference including sampling, point and interval estimation and hypothesis testing; time series; index numbers.   

QMBE 2786 Intermediate Business and Economic Statistics            3 cr.
Prerequisite: BA 2780, MATH 2314 and concurrent enrollment in quantitative methods - QMBE 2787. Hypothesis testing; Chi-Squared distribution; analysis of variance; correlation; simple and multiple regression; non-parametric methods; forecating.          

QMBE 2787 Business and Economics Statistics Laboratory             1 cr.
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.                                                                         

QMBE 4400 Statistics for Managers                                                3 cr.
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.            

QMBE 4785 Advanced Regression and Correlation Analysis
     for Business and Economics                                                        3 cr.
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.                                                                                            

QMBE 4786 Advanced Statistical Decision Analysis for
     Business and Economics                                                             3 cr.
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. 

QMBE 6280 Mathematics in Financial Economics                          3 cr.
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.            

QMBE 6281 Econometrics I                                                           3 cr.
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.        

QMBE 6282 Econometrics II                                                          3 cr.
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.   

QMBE 6283 Seminar in Mathematics and Statistics for
     Financial Economics                                                                  3 cr.
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. 

QMBE 6295 Special Topics in Quantitative Methods                   1-4 cr.
An intensive study of selected special topics in Quantitative 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. 

QMBE 6380 Advanced Mathematics in Financial Economics          3 cr.
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.                                                                     

QMBE 6780 Operations Research                                                   3 cr.
Offered each semester. This course is an introduction to solving quantitative problems in business and government organizations. It includes linear programming and the simplex algorithm; duality;the assignment and transportation problems; integer programming; goal programming; non-linear programming using LaGrange multipliers and the Kuhn-Tucker method; Markov chains; simulation; Von Neumann-Morgenstern analyses of utility, games, and decisions.                                                                                          

QMBE 6781 Business Forecasting and Econometrics                       3 cr.
Prerequisites: QMBE 2786 and Economics 3781 or Mathematics 2010 or 2107. Single equation regression models with emphasis on applications in business, finance, and economics. Topics include: multiple regression with least squares and alternative estimators, two stage least squares, single equation forecasting, and forecasting with time series models.