• STAT 4115: Time Ser Anlysis & Forecstng

  3.00 Credits

  University of Wyoming

  
  An applied introduction of time series and forecasting. Brief coverage of time series regression, decomposition methods, and smoothing will lead into a more detailed coverage of Box-Jenkins (ARIMA) modeling. Computer analysis using MINITAB and SAS will be an important part of the course. Dual listed with STAT 5115; cross listed with ECON 4115. Prerequisites: STAT 4015/5015.
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• STAT 4150: Fund Of Sampling

  3.00 Credits

  University of Wyoming

  
  Develops methodology of simple random sampling, stratified sampling, and multistage sampling. Provides applications related to physical, social, and biological sciences. Discusses single and two-variable estimation techniques. Presents estimation based on subsamples from subpopulations. Prerequisite: choice of STAT 2010, 2050, 2070 or equivalent.
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• STAT 4155: Fundamentals of Sampling

  3.00 Credits

  University of Wyoming

  
  Develops methodology of simple random sampling, stratified sampling, and multistate sampling. Provides applications related to physical, social, and biological sciences. Discusses single and two-variable estimation techniques. Presents estimation based on subsamples from subpopulations. Dual listed with STAT 5155. Prerequisites: STAT 2070 or equivalent.
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• STAT 4220: Basic Engineer Stat

  3.00 Credits

  University of Wyoming

  
  Introduces probability models, properties of distributions, statistical inference and development of statistical models for physical and engineering sciences. Credit cannot be earned in more than one of the following courses: STAT 2010, 2050, 2070, 4220 and 5000. Prerequisite: MATH 2205 or 2355 (or equivalent).
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• STAT 4240: Data Mining

  3.00 Credits

  University of Wyoming

  
  An introduction to statistical learning and data mining using techniques that have proven useful in recognizing patterns and making predictions. These techniques include both parametric and nonparametric models. Tools for computing and evaluating these techniques will also be studied. Dual listed with STAT 5240. Prerequisite: STAT 4015.
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• STAT 4250: Math Thry-Probabil

  3.00 Credits

  University of Wyoming

  
  Calculus-based. Introduces mathematical properties of random variables. Includes discrete and continuous probability distributions, independence and conditional probability, mathematical expectation, multivariate distributions and properties of normal probability law. Cross listed with MATH 4250. Prerequisite: grade of C or better in MATH 2210.
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• STAT 4255: Math Theory of Probability

  3.00 Credits

  University of Wyoming

  
  Calculus-based. Introduces mathematical properties of random variable. Includes discrete and continuous probability distributions, independence and conditional probability distributions, independence and conditional probability, mathematical expectation, multivariate distributions and properties of normal probability law. Dual listed with STAT 5255; cross listed with MATH 4255. Prerequisite: grade of C or better in MATH 2210 or 2355.
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• STAT 4260: Intro Theory Stat

  3.00 Credits

  University of Wyoming

  
  Presents derivations of theoretical and sampling distributions. Introduces theory of estimation and hypothesis testing. Cross listed with MATH 4260. Prerequisite: STAT/MATH 4250.
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• STAT 4265: Intro Theory of Statistics

  3.00 Credits

  University of Wyoming

  
  Presents derivations of theoretical and sampling distributions. Introduces theory of estimation and hypothesis testing. Prerequisites: STAT 4255/5255 or MATH 4255.
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• STAT 4270: Applied Bayesian Statistics

  3.00 Credits

  University of Wyoming

  
  This course introduces Bayesian data analysis in an applied context. We will learn about Bayesian statistics primarily in a regression model context, taken broadly. A conceptual understanding of popular Markov Chain Monte Carlo algorithms will be provided. Dual listed with STAT 5270. Prerequisite: STAT 4015/5015.
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