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SPCD 696: Internship
3.00 Credits
University of New Mexico-Main Campus
A planned and supervised experience for doctoral students. This course allows the student to apply theoretical concepts to a relevant problem. This experience may include but is not limited to research, teaching, administration, organization, and evaluation. Restriction: permission of instructor.
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SPCD 696 - Internship
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SPCD 699: Dissertation
3.00 Credits
University of New Mexico-Main Campus
Students may not receive credit in Dissertation until the semester in which the doctoral comps are passed. Offered on a CR/NC basis only. Restriction: permission of instructor.
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SPCD 699 - Dissertation
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STAT 425 /525: SAS Programming
3.00 Credits
University of New Mexico-Main Campus
A detailed introduction to the SAS programming language. Topics covered include reading data, storing data, manipulating data, data presentation, graphing, and macro programming. SAS software will be used. Prerequisite: 345 and 427.
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STAT 425 /525 - SAS Programming
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STAT 427 /527: Advanced Data Analysis I
3.00 Credits
University of New Mexico-Main Campus
Statistical tools for scientific research, including parametric and non-parametric methods for ANOVA and group comparisons, simple linear and multiple linear regression, and basic ideas of experimental design and analysis. Emphasis placed on the use of statistical packages such as Minitab and SAS . Prerequisite: 145. {Fall}
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STAT 427 /527 - Advanced Data Analysis I
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STAT 428 /528: Advanced Data Analysis II
3.00 Credits
University of New Mexico-Main Campus
A continuation of 427 that focuses on methods for analyzing multivariate data and categorical data. Topics include MANOVA, principal components, discriminant analysis, classification, factor analysis, analysis of contingency tables including log-linear models for multidimensional tables and logistic regression. Prerequisite: 427.
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STAT 428 /528 - Advanced Data Analysis II
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STAT 434 /534: Contingency Tables and Dependence Structures
3.00 Credits
University of New Mexico-Main Campus
This course examines the use of log-linear models to analyze count data. It also uses graphical models to examine dependence structures for both count data and measurement data. Prerequisite: 345 and 427.
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STAT 434 /534 - Contingency Tables and Dependence Structures
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STAT 440 /540: Regression Analysis
3.00 Credits
University of New Mexico-Main Campus
Simple regression and multiple regression. Residual analysis and transformations. Matrix approach to general linear models. Model selection procedures, nonlinear least squares, logistic regression. Computer applications. Prerequisite: 427. {Fall}
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STAT 440 /540 - Regression Analysis
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STAT 445 /545: Analysis of Variance and Experimental Design
3.00 Credits
University of New Mexico-Main Campus
A data-analytic course. Multifactor ANOVA. Principles of experimental design. Analysis of randomized blocks, Latin squares, split plots, etc. Random and mixed models. Extensive use of computer packages with interpretation, diagnostics. Prerequisite: 440. {Spring}
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STAT 445 /545 - Analysis of Variance and Experimental Design
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STAT 453 /553: Statistical Inference with Applications
3.00 Credits
University of New Mexico-Main Campus
Transformations of univariate and multivariate distributions to obtain the special distributions important in statistics. Concepts of estimation and hypothesis testing in both large and small samples with emphasis on the statistical properties of the more commonly used procedures, including student's t-tests, F-tests and chi-square tests. Confidence intervals. Performance of procedures under non-standard conditions (i.e., robustness). Prerequisite: 461. {Spring}
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STAT 453 /553 - Statistical Inference with Applications
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STAT 461 /561: Probability
3.00 Credits
University of New Mexico-Main Campus
(Also offered as MATH 441.) Mathematical models for random experiments, random variables, expectation. The common discrete and continuous distributions with application. Joint distributions, conditional probability and expectation, independence. Laws of large numbers and the central limit theorem. Moment generating functions. Prerequisite: MATH 264. {Fall}
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STAT 461 /561 - Probability
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