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Course Criteria
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3.00 Credits
Prerequisite: MATH 6301 or consent of department. Multivariate normal distribution, test of hypothesis on means, multivariate analysis of variance, canonical correlation.
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3.00 Credits
Prerequisite: MATH 6301 or consent of department. Linear regression, regression diagnostics, multiple regression, nonlinear regression. Only one of MATH 4304 or 6304 may be counted toward a master's degree in Mathematics.
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3.00 Credits
Prerequisites: Consent of department. MATH 6311 is prerequisite to MATH 6312. Theory of probability distributions, random variables and functions of random variables, multivariate and conditional distributions, order statistics, sampling distributions, theory of estimation and hypothesis testing.
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3.00 Credits
Prerequisites: Consent of department. MATH 6311 is prerequisite to MATH 6312. Theory of probability distributions, random variables and functions of random variables, multivariate and conditional distributions, order statistics, sampling distributions, theory of estimation and hypothesis testing.
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3.00 Credits
Prerequisite: MATH 6311 or consent of department. Simple random sampling with and without replacement, sampling with varying probabilities, stratified sampling, cluster sampling, subsampling, systematic sampling, two-stage sampling, and sequential sampling.
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3.00 Credits
Prerequisite: MATH 6311 and 6312 or consent of department. Analysis of contingency tables, exact small sample tests, large sample inference, logistic regression, logit, probit, extreme value, loglineaer and other generalized linear models, model building and applications.
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3.00 Credits
Prerequisite: MATH 6312 or consent of department. Multivariate normal distribution, matrix operations, distributions of quadratic forms, general linear hypotheses, standard models, computing techniques.
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3.00 Credits
Prerequisite: MATH 6341 or consent of department. Matrix methods including calculus, principles of experimental design, techniques of analysis.
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3.00 Credits
Prerequisite: MATH 6311 or consent of department. Autocorrelation, spectral analysis and filtering, autoregressive (AR) models, moving average (MA) models, ARMA models, ARIMA models, model identification, forecasting, and estimation of parameters.
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3.00 Credits
Prerequisite: MATH 4301 or 4304 or consent of department. Management and quality, construction and analysis of control charts for variables and attributes, Markov chain representations of control charts, capability analysis, reliability, continuous sampling plans, acceptance sampling, tolerances.
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