• STAT 5360: Spatial Statistics

  3.00 Credits

  University of Wyoming

  
  Emphasis is on a geralized linear model approach to the modeling of continuous data, placing model building and the various kriging methods into a single conceptual framework. Dual listed with STAT 4360. Prerequisite: STAT 4015.
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• STAT 5370: Survival Analysis

  3.00 Credits

  University of Wyoming

  
  Introduction to the modeling of time to event data as it arises in epidemiological and medical research. Topics include parametric and non-parametric estimation for censored data without covariates, and for data with covariates, the proportional hazards regression model, additive hazards regression model and parametric regression models. Dual listed with STAT 4370. Prerequisites: STAT 4015, 4025 and 4265.
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• STAT 5470: Data Analysis

  3.00 Credits

  University of Wyoming

  
  This course is designed to develop the skill of analyzing data sets using methods of classic statistical analysis, such as analysis of variance, regression, discrete models, descriptive analysis, non-parametrics, and multivariate methods. The focus will be on understanding the various models and methods, computer assisted data analysis, and communication of results (oral and written). Prerequisite: 12 graduate level hours in statistics (excluding STAT 5000).
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• STAT 5490: Statistical Consulting

  1.00 Credits

  University of Wyoming

  
  An introduction to the art and practice of statistical consulting. Topics include active listening, ascertaining client knowledge level and ability, determining appropriate methods of analysis given limitations, and organizing and managing a consulting session. Prerequisite: graduate standing in statistics, 15 hours in statistics.
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• STAT 5510: Distribution Theory

  4.00 Credits

  University of Wyoming

  
  Topics covered include probability theory, conditional probability, random variables, special distribution functions, functions of random variables, expectation, random samples, and limiting distributions. Prerequisite: MATH 2210, 3000 or MATH/STAT 4260.
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• STAT 5520: Inference I

  4.00 Credits

  University of Wyoming

  
  Topics covered include properties of a random sample, convergence concepts, principles of data reduction, methods of point estimation, evaluation of point estimators, as well as some interval estimation and hypothesis testing. Prerequisites: STAT5510.
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• STAT 5530: Inference II

  3.00 Credits

  University of Wyoming

  
  Topics covered include methods used in Bayesian, Likelihood, Frequentist inference; some methods for robust inference and some large sample theory as needed. Prerequisite: STAT 5520.
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• STAT 5540: Large Sample Theory

  3.00 Credits

  University of Wyoming

  
  Treats various limiting techniques which can be used to predict the behavior of statistics computed from large data sets. The characteristic function is used in deriving the law of large numbers and various forms of the central limit theorem, including the multivariate normal case. The central and noncentral chi-square distributions are derived as the probability law for certain statistics in the limit. Other topics discussed include modes of probabilistic convergence, speed of convergence, and large sample approximation procedures. Prerequisite: STAT 5510.
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• STAT 5615: Time Series Analysis II

  3.00 Credits

  University of Wyoming

  
  A treatment of theory and application of ARIMA modeling of times series. Frequency domain analysis is also introduced. Additional topics will be selected from intervention analysis, transfer function (ARMAX) models, outlier analysis, vector ARIMA models, ARCH, GARCH, and state-space models, according to the interests and abilities of the class. Prerequisites: STAT 4010/5010, 4110 and 4260/5260.
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• STAT 5620: Theory of Linear Models

  3.00 Credits

  University of Wyoming

  
  A theoretical approach to estimation and testing in the general linear model. Topics include: special linear algebra results for statistics, para-meterizations, estimability, least squares, best linear unbiased estimation, and testing linear hypotheses. Prerequisite: STAT 5630, 5520, MATH 4500.
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