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STAT 229: Survival Analysis
3.00 Credits
University of Vermont
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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STAT 229 - Survival Analysis
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STAT 231: Experimental Design
3.00 Credits
University of Vermont
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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STAT 231 - Experimental Design
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STAT 233: Survey Sampling
3.00 Credits
University of Vermont
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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STAT 233 - Survey Sampling
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STAT 235: Categorical Data Analysis
3.00 Credits
University of Vermont
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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STAT 235 - Categorical Data Analysis
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STAT 237: Nonparametric Statistical Mthd
3.00 Credits
University of Vermont
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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STAT 237 - Nonparametric Statistical Mthd
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STAT 241: Statistical Inference
3.00 Credits
University of Vermont
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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STAT 241 - Statistical Inference
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STAT 251: Probability Theory
3.00 Credits
University of Vermont
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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STAT 251 - Probability Theory
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STAT 252: Appl Discr Stochas Proc Models
3.00 Credits
University of Vermont
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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STAT 252 - Appl Discr Stochas Proc Models
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STAT 253: Appl Time Series & Forecasting
3.00 Credits
University of Vermont
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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STAT 253 - Appl Time Series & Forecasting
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STAT 254: Appl Cont Stoch Process Models
1.00 Credits
University of Vermont
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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STAT 254 - Appl Cont Stoch Process Models
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