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Course Criteria
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3.00 Credits
Probabilistic models and inference for time-to-event data. Censored data, life tables, Kaplan-Meier estimation, logrank tests, proportional hazards regression. Specialized applications (e.g. clinical trials, reliability). Prerequisites: Any 200-level Statistics course, one year of calculus. Credits: 3
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3.00 Credits
Randomization, complete and incomplete blocks, cross-overs, Latin squares, covariance analysis, factorial experiments, confounding, fractional factorials, nesting, split plots, repeated measures, mixed models, response surface optimization. Prerequisites: 211; 221 recommended. Credits: 3
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3.00 Credits
Design and data analysis for sample surveys. Simple random, stratified, systematic, cluster, multistage sampling. Practical issues in planning and conducting surveys. Prerequisites: 211; or 141 or 143 with instructor's permission. Credits: 3
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3.00 Credits
Measures of association and inference for categorical and ordinal data in multiway contingency tables. Log linear and logistic regression models. Prerequisite: 211. Credits: 3
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3.00 Credits
Nonparametric and distribution free methods; categorical, ordinal, and quantitative data; confidence intervals; rank and chisquare hypothesis tests; computer-intensive procedures (bootstrap, exact tests). Prerequisites: 211; or 141 or 143 with instructor's permission. Credits: 3
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3.00 Credits
Introduction to statistical theory: related probability fundamentals, derivation of statistical principles, and methodology for parameter estimation and hypothesis testing. Prerequisites: 151 or 153 or 251; 141 or equivalent; Math. 121. Credits: 3
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3.00 Credits
Distributions of random variables and functions of random variables. Expectations, stochastic independence, sampling and limiting distributions (central limit theorems). Concepts of random number generation. Prerequisite: Math 121; Stat 151 or 153 recommended. Credits: 3
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3.00 Credits
Markov chain models for biological, social, and behavioral systems models. Random walks, transition and steady-state probabilities, passage and recurrence times. Prerequisite: STAT 151 or STAT 153 or STAT 251 Credits: 1
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3.00 Credits
Autoregressive moving average (Box-Jenkins) models, autocorrelation, partial correlation, differencing for nonstationarity, computer modeling. Forecasting, seasonal or cyclic variation, transfer function and intervention analysis, spectral analysis. Prerequisite: 211 or 225; or 141 or 143 with instructor's permission. Cross-listing: CSYS 253. Credits: 3
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1.00 Credits
Queueing models for operations research and computer science systems analysis. Birth-and-death processes with applications. Exponential, Erlang and Poisson distributions. Monte Carlo simulation. Pre/co-requisites: STAT 151 or STAT 153 or STAT 251 Credits: 1
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