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STAT 3704: Statistics For Engineering Applications
3.00 Credits
Virginia Polytechnic Institute and State University
Introduction to statistical methodology with emphasis on engineering experimentation: probability distributions, estimation, hypothesis testing, regression, and analysis of variance. Only one of the courses 3704, 4604, 4705, and 4714 may be taken for credit. Pre: MATH 2224. (2H,2 Credits) I,II.
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STAT 4004: Methods of Statistical Computing
3.00 Credits
Virginia Polytechnic Institute and State University
Computationally intensive computer methods used in statistical analyses. Statistical univariate and multivariate graphics; resampling methods including bootstrap estimation and hypothesis testing and simulations; classification and regression trees; scatterplot smoothing and splines. Pre: (4105, 4214). (4H,3 Credits)
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STAT 4004 - Methods of Statistical Computing
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STAT 4024: Communication Skills For Statistical Consulting
2.00 Credits
Virginia Polytechnic Institute and State University
Specialized tools for design and analysis applicable to current interdisciplinary statistical consulting projects. Oral and written communication skills important to effective client-statistician interactions, including interview, report-writing, and oral presentation skills. Pre: 3006, 4204. (2H,2 Credits)
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STAT 4024 - Communication Skills For Statistical Consulting
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STAT 4105-4106: Theoretical Statistics
3.00 Credits
Virginia Polytechnic Institute and State University
4105: Probability theory, counting techniques, conditional probability; random variables, moments; moment generating functions; multivariate distributions; transformations of random variables; order statistics. 4106: Convergence of sequences of random variables; central limit theorem; methods of estimation; hypothesis testing; linear models; analysis of variance. I Pre: MATH 2224. (3H,3 Credits)
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STAT 4105-4106 - Theoretical Statistics
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STAT 4204: Experimental Designs
3.00 Credits
Virginia Polytechnic Institute and State University
Fundamental principles of designing and analyzing experiments with application to problems in various subject matter areas. Discussion of completely randomized, randomized complete block, and Latin square designs, analysis of covariance, split--plot designs, factorial and fractional designs, incomplete block designs. Project. Knowledge of WIN/MAC required. I Pre: 3006 or 3616 or 4106 or 4706 or 5605 or 5615. (3H,3 Credits)
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STAT 4204 - Experimental Designs
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STAT 4214: Methods of Regression Analysis
3.00 Credits
Virginia Polytechnic Institute and State University
Multiple regression including variable selection procedures; detection and effects of multicollinearity; identification and effects of influential observations; residual analysis; use of transformations. Non-linear regression, the use of indicator variables, and logistic regression. Use of SAS. Project. Knowledge of WIN/MAC required. I Pre: 3006 or 3616 or 4106 or 4706 or 5606 or 5616. (3H,3 Credits)
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STAT 4214 - Methods of Regression Analysis
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STAT 4444: Applied Bayesian Statistics
3.00 Credits
Virginia Polytechnic Institute and State University
Introduction to Bayesian methodology with emphasis on applied statistical problems: data displaying, prior distribution elicitation, posterior analysis, models for proportions, means and regression. Pre: MATH 2224. (3H,3 Credits)
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STAT 4444 - Applied Bayesian Statistics
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STAT 4504: Applied Multivariate Analysis
3.00 Credits
Virginia Polytechnic Institute and State University
Non-mathematical study of multivariate analysis. Multivariate analogs of univariate test and estimation procedures. Simultaneous inference procedures. Multivariate analysis of variance, repeated measures, inference for dispersion and association parameters, principal components analysis, discriminant analysis, cluster analysis. Use of SAS. Project. Knowledge of WIN/MAC required, even years. II Pre: 3006 or 4706 or 5606 or 5616. (3H,3 Credits)
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STAT 4504 - Applied Multivariate Analysis
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STAT 4514: Contingency Table Analysis
3.00 Credits
Virginia Polytechnic Institute and State University
Statistical techniques for frequency data. Goodness-of-fit. Tests and measures of association for two-way tables. Log-linear models for multidimensional tables. Parameter estimation, model selection, incomplete tables, ordinal categories, logistic regression. Use of SAS and SPSSx. Project. Knowledge of WIN/MAC required, even years. II. Pre: 3006 or 3616 or 4106 or 4706 or 5606 or 5616. (3H,3 Credits)
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STAT 4514 - Contingency Table Analysis
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STAT 4534: Applied Statistical Time Series Analysis
3.00 Credits
Virginia Polytechnic Institute and State University
An applied course in time series analysis. A uniform coverage of both time domain and frequency domain methods that are used in the physical, biological, and social sciences and by applied statisticians. WIN/MAC. Odd years. II Pre: (3006 or 4106 or 4706 or 4714 or 5606 or 5616), (MATH 1206). (3H,3 Credits)
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STAT 4534 - Applied Statistical Time Series Analysis
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