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Course Criteria
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5.00 Credits
Estimation, hypothesis tests, best tests, likelihood ratio tests, confidence sets, sufficiency, efficient estimators; intended primarily for students in the MAS degree program. Wi, Sp Qtrs. 3 cl.
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3.00 Credits
Conditioning, discrete time Markov chains, Poisson processes, branching process. Wi Qtr. 3 cl.
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3.00 Credits
Time series models; estimation of the spectral density function; transformations of time series; prediction theory applications. Au Qtr.
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5.00 Credits
The linear model for experimental designs; analysis of variance; factorial experiments; and block designs. Wi, Sp Qtrs. 3 cl.
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5.00 Credits
Simple and multiple linear regression, diagnostics, model selection, models with categorical variables. Au, Wi, Sp Qtrs. 3 cl.
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5.00 Credits
Matrix computation of summary statistics, geometry of sample data; multivariate normal distribution; MANOVA; principal components; discriminant analysis; topics may include factor analysis, cluster analysis, canonical correlation. Wi, Sp Qtrs. 3 cl.
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5.00 Credits
Noncalculus treatment of nonparametric tests, confidence intervals, estimation; topics include one- and two-sample problems, one- and two-way analysis of variance, multiple comparisons, correlation. Su, Sp Qtrs. 5 cl.
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3.00 Credits
Survey of statistical methods for environmental data, with a focus on applications. Topics include sampling, regression, censoring, risk analysis, bioassay, time series, and spatial statistics. Sp Qtr. 2 1.5-hr cl,
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5.00 Credits
Statistical failure models, graphical and analytic parametric estimation for censored samples, non-parametric survival function estimation, reliability of composite and repairable systems, Bayesian estimation and prediction. ^ Sp Qtr. 3 1.5-hr cl.
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5.00 Credits
Pareto diagrams; process control: Shewhart, CUSUM, empirical Bayes, multivariate and other control charts; economic design, process capability, Taguchi's method for off-line control; acceptance sampling. Au Qtr. 3 cl.
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