• STAT 5810: Topics in Statistics

  1.00 - 3.00 Credits

  Utah State University

  
  Prerequisite/Restriction: Permission of instructor Repeatable for credit.
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• STAT 5820: Topics in Statistics

  1.00 - 3.00 Credits

  Utah State University

  
  This course explores a particular topic in greater depth and with narrower focus than a conventional course. Prerequisite/Restriction: Permission of instructor. Repeatable for credit.
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• STAT 5940: Directed Reading and Conference

  1.00 - 3.00 Credits

  Utah State University

  
  This course consists of directed readings on specific topics. Prerequisite/Restriction: Prior arrangement with specific instructor. Repeatable for credit.
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• STAT 5950: Senior Honors Project

  1.00 - 4.00 Credits

  Utah State University

  
  A senior project, required for completion of the departmental honors program and developed under the direction of a departmental faculty member. Prerequisite: Permission of instructor.
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• STAT 5970: Seminar

  1.00 - 3.00 Credits

  Utah State University

  
  Review of current literature and developments in the field of statistics. Repeatable for credit.
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• STAT 6080: DATA TECHNOLOGIES

  2.00 Credits

  Utah State University

  
  Modern data technologies, including the basics of simulation, resampling, bootstrap, regular expressions, web scraping, XML, data bases and SQL, and the Tidyverse (a collection of R packages for data science) are discussed. Students use unprocessed real-life data sets whenever possible. For graduate (6000-level) credit, a major project is required. Prerequisite/Restriction: C- or better in ( STAT 3000 or STAT 5100 with a C- or better STAT 5050 with a C- or better STAT 5550 is recommended
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• STAT 6100: Advanced Regression Analysis

  2.00 Credits

  Utah State University

  
  Students explore modern linear and non-linear regression topics for regularization and prediction including ridge regression, LASSO, LAR, elastic net, principal components regression, partial least squares, generalized linear and additive models, MARS, regression trees, random forests, boosted trees, and support vector machines. Prerequisites: STAT 5100 with a C- or better MATH 2270 or 2250 with a C- or better
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• STAT 6110: Theory of Linear Models

  1.00 Credits

  Utah State University

  
  Students learn mathematical development of linear models theory for estimation, hypothesis testing, and confidence regions in multiple linear regression; least squares estimation; the Gauss-Markov Theorem; distribution theory for quadratic forms in normal variables; derivation of the F-test; and confidence procedures. Prerequisites: STAT 5100 with a C- or better MATH 5720 with a C- or better
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• STAT 6150: SAS Predictive Analytics

  2.00 Credits

  Utah State University

  
  This course introduces SASr predictive analytics tools in SASr Enterprise MinerT and SASr STATT. Topics include principal components analysis; clustering observation and variables; regression with regularization and model selection; and classification including decision trees, random forests, and support vector machines. For graduate (6000-level) credit, additional work is required. Crosslisted as: STAT 5150 Prerequisites: STAT 5650 with a C- or better
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• STAT 6170: Time Series and Forecasting

  2.00 Credits

  Utah State University

  
  Students are introduced to linear time series analysis and ARIMA models. Topics include stationarity, differencing, AR, MA, and ARIMA models, modeling and forecasting with ARIMA models. Crosslisted as: STAT 5170 Prerequisites:One of the following: STAT 5100 with a C- or better STAT 5050 with a C- or better Previous experience programming in R
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