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Course Criteria
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3.00 Credits
LEC. 3. Pr., MATH 1620. Coreq., basic programming. Stochastic properties of random phenomena in computational complexity, data analysis, chaotic nonlinear systems. Computer simulation and experimenting within Mathematica, supported by Internet resources. Credit will not be given for both MATH 5690 and STAT 5690.
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2.00 Credits
LEC. Pr., STAT 3010 or STAT 7000. Coreq., STAT 7000 Emphasis is placed on using SAS routines to obtain statistical analyses for common statistical methods and interpreting output.
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3.00 Credits
LEC. 3. Pr., STAT 3600 or departmental approval. Estimation of means, proportions, finite populations, stratified sampling, systematic sampling ration estimations.
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3.00 Credits
LEC. 3. Pr., MATH 2630. 125dom variables, discrete and absolutely continuous distributions. Poisson process, expectation and conditional expectation. Moment generating functions, limit distributions. Emphasis on probabilistic reasoning and problem solving. Credit will not be given for both STAT 6670 and MATH 6670.
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3.00 Credits
LEC. 3. Pr., STAT/MATH 6670. Multivariate distributions, Central Limit Theorem, Laplace transforms, convolutions, simulations, renewal processes Continuous-time Markov chains, Markov renewal and semi-regenerative processes, brownian motion and diffusion. Credit will not be given for both STAT 6680 and MATH 6680.
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3.00 Credits
LEC. 3. Pr., MATH 1620. Statistics and modeling of random phenomena in connection to computational complexity, data analysis, processes of chance and chaotic nonlinear systems. Credit will not be given for both STAT 6690 and MATH 6690.
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4.00 Credits
LEC. 4. Pr., MATH 1120, STAT 2510 or departmental approval. Paired and independent sample t-tests, ANOVA, F-tests, contrasts, tests for trends, multiple comparisons, CR and RCB designs of experiments, regression.
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3.00 Credits
LEC. 3. Pr., STAT 7000. Advanced topics in experimental design: writing linear models for experiment-expected mean squares, variance components, nested designs, Latin Square Designs, split plot designs, ANOVA and multiple regression.
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3.00 Credits
LEC. 3. Pr., STAT 7000 or consent of department. Introduction to the method of least squares as it applies to regression and analysis of variance. Simple linear regression, multiple regression, model selection and diagnostics.
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3.00 Credits
LEC. 3. Pr., STAT/MATH 3600 or STAT 7000 or departmental approval. Methods for analysis or categorical response data. Topics include Chi-square tests, Likelihood Ration tests, Logistic Regression and Loglinear Modeling.
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