Course Search Results

  • STAT 5300: Applied Multivariate Analysis

    3.00 Credits
    University of Wyoming

    The application of multivariate statistical methods in behavioral science research. Topics include: multivariate regression, canonical correlation, discriminate analysis, factor analysis and multivariate regression, canonical correlation, discriminate analysis, factor analysis and multidimensional scaling. A wide range of computer assistance is incorporated. Dual listed with STAT 4300. Prerequisite: STAT 5050, 5060, 5070, 5080.
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  • STAT 5320: Design/Analys Exp II

    3.00 Credits
    University of Wyoming

    Linear models included analysis of variance, analysis of covariance, and regression within its general framework. This is a basic course in the applications of these models containing the standard topics as well as some newer and more unconventional ones. The course is oriented toward the professional statistician who will be involved in the design and analysis of experiments. Extensive use is made of SAS and BMDP in the course. Prerequisite: STAT 4025 or 5225.
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  • STAT 5350: Survey Construction & Analysis

    3.00 Credits
    University of Wyoming

    Examines the issues surrounding the construction (item wording, test theory, and numerical scales), assessment (sampling and psychometrics), and analysis (tem analysis, qualitative data analysis, and factor analysis) of survey instruments. Roughly a third of the course is devoted to each of these areas. Dual listed with STAT 4350. Prerequisite: STAT 3050.
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  • 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 5380: Bayesian Data Analysis

    3.00 Credits
    University of Wyoming

    Bayesian statistical methods for analyzing data, with emphasis on ecological and biological data. Includes Bayes rule, basic Bayesian formulation (priors, posteriors, likelihoods), single-and multiple-parameter models, hierarchical models, generalized linear models, multivariate models, mixture models, models for missing data, merging statistical and process models, and introduction to computation models. Cross listed with BOT/ECOL 5380. Prerequisites: at least 2 semesters of calculus and one semester of statistics.
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  • STAT 5420: Linear Models

    3.00 Credits
    University of Wyoming

    An introduction to the theory of basic statistical linear models. Topics include: special matrix theory for statistics, multivariate normal distributions, distributions of quadratic forms, as well as estimation and hypothesis testing in the full rank and less than full rank models. Prerequisite: STAT 4015, 4025, 4265 and MATH 2250.
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  • STAT 5430: Applied Geostatics

    3.00 Credits
    University of Wyoming

    Designed to provide general geostatistical analyses and their applications for spatial random variables and functions. Topics covered include variogram, cross validation, kriging, cokriging, sampling strategies, and both non-conditional and conditional simulations. Several geostatistics packages will be used to analyze real field data and students are encouraged to use their own data for practicing geostatistical applications. Examples are taken from geohydrology, soil science, crop science, mining, and various environmental studies. Cross listed with SOIL/GEOL 5430. Prerequisite: STAT 4015.
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  • STAT 5450: Bio Samp & Est Animal

    3.00 Credits
    University of Wyoming

    A quantitative treatment of techniques useful in the biological sampling and estimation of animal abundance. Included are mark release methods, catch-effort methods, change in ratio methods, mortality and survival estimation, transect and quadrat sampling. Cross listed with ZOO 5450. Prerequisite: ZOO 4400.
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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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