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STAT
5501
Statistical Design Of Experiments
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This course is designed to present a variety of experimental design techniques to students with moderate mathematical and statistical background. The course includes three major components: efficient factorial designs, linear and quadratic process optimization of the location parameter, and variability reduction. Students will be trained to use the SPSS statistical software package. Prerequisite: STAT 436 or consent of instructor
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3 hrs
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STAT
5537
Mathematical Statistics I
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Probability theory, distribution functions, sampling, statistical inference, topics in advanced applied statistics. Prerequisite: MATH 402 or consent of the instructor. Note: Continued in STAT 5547.
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3 hrs
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STAT
5551
Applied Statistical Analysis
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Methods for analyzing data from experiments and observational studies; design-based and model-based inferences; model assessment; ANOVA; power analysis; SAS procedures. Prerequisites: STAT 436 or consent of instructor Offered: Every other Winter
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3 hrs
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STAT
5561
Time Series Analysis
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This course is intended to present the basis knowledge (including models, methods and concepts) of time series analysis to students with a good background in intermediate mathematical statistics. Some elementary knowledge of basic linear regression anlysis would be helpful but not necessary. The presentation will be balanced between theory and data analysis, with sufficient theory to understand the basis of methods and a broad variety of models and many real data examples. Case studies will be drawn from business and economics, network traffic and meteorology, and data will be analyzed by students using existing computer programs (SAS, Minitab and R). Students are also expected to understand proper use and limits of time series models. Prerequisites: STAT 441 or consent of instructor note: This course will be offered every other winter.
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3 hrs
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STAT
5565
Regression Analysis
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Simple linear regression; multiple linear regression; correlation analysis; model selections; checking assumptions; regression diagonostics; combating multi-collinearity; nonlinear regression. Prerequisites: STAT 436 or consent of instructor Offered: On Demand
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3 hrs
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STAT
5572
Multivariate Analysis
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Random vectors; multivariate normal distributions; Hotelling's T-square distribution; Wishart distribution; inferences on one mean vector; MANOVA; inferences on covariance matrices; profile analysis. Prerequisites: MATH 420 or consent of instructor Offered: Every other Fall
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3 hrs
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Existence and extension of measure, random variable, expectation and its properties, types of convergence, law of large numbers, weak convergence, central limit theorem, and martingale. Prerequisites: STAT 436 and MATH 412 Offered: Every Fall
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3 hrs
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STAT
5578
Advanced Mathematical Statistics
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Exponential and location families, principles of data reduction, asymptotic distributions, advanced theory of estimation and hypothesis testing.
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3 hrs
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Selected topics in various fields of mathematics. May be repeated for credit when the topic varies. Prerequisite: Consent of instructor.
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1-3 hrs
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Graduate Courses