Course Descriptions

STAT 110 - (3) (Y)
Chance: An Introduction to Statistics
Study of introductory statistics and probability, visual methods for summarizing quantitative information, basic experimental design and sampling methods, ethics and experimentation, causation, and interpretation of statistical analyses. Applications use data drawn from current scientific and medical journals, newspaper articles, and the Internet.

STAT 301 - (3) (Y)
Statistical Computing and Graphics
Prerequisite: STAT 110 or MATH 112 or permission of instructor
An introduction to statistical computing using S-PLUS. Topics include descriptive statistics for continuous and categorical variables, methods for handling missing data, basics of graphical perception, graphical displays, exploratory data analysis, and the simultaneous display of multiple variables. Students should be experienced with basic text-editing and file manipulation on either a PC or a UNIX system, and with either a programming language (e.g. BASIC) or a spreadsheet program (e.g. MINITAB or EXCEL). Credit earned in this course cannot be applied toward a graduate degree in statistics.

STAT 313 - (3) (O)
Design and Analysis of Sample Surveys
Prerequisite: STAT 110 or MATH 112 or MATH 312, or permission of instructor
Discussion of the main designs and estimation techniques used in sample surveys; including simple random sampling, stratification, cluster sampling, double sampling, post-stratification, and ratio estimation. Non-response problems and measurement errors are also discussed. Many properties of sample surveys are developed through simulation procedures. The SUDAAN software package for analyzing sample surveys is used.

STAT 501 - (3) (Y)
Statistical Computing and Graphics
Prerequisites: STAT 110 or MATH 112, and graduate standing or permission of instructor. Students who have received credit for STAT 301 may not take STAT 501 for credit.
Introduction to statistical computing using S-PLUS. Topics include descriptive statistics for continuous and categorical variables, methods for handling missing data, basics of graphical perception, graphical displays, exploratory data analysis, the simultaneous display of multiple variables. Students should be experienced with basic text-editing and file manipulation on either a PC or a UNIX system, and with either a programming language (e.g. BASIC) or a spreadsheet program (e.g. MINITAB or EXCEL). Credit earned in this course cannot be applied toward a graduate degree in statistics.

STAT 512 - (3) (Y)
Applied Linear Models
Prerequisite: MATH 312 or MATH 510 or permission of instructor; corequisite: STAT 598
Topics include linear regression models, inferences in regression analysis, model validation, selection of independent variables, multicollinearity, influential observations, auto correlation in time series data, polynomial regression, nonlinear regression, and other topics in regression analysis.

STAT 513 - (3) (O)
Applied Multivariate Statistics
Prerequisites: MATH 351 and MATH 312 or MATH 510 or permission of instructor; corequisite: STAT 598
Topics include matrix algebra, random sampling, multivariate normal distributions, multivariate regression, MANOVA, principal components, factor analysis, discriminant analysis. Statistical software is used.

STAT 514 - (3) (Y)
Survival Analysis and Reliability Theory
Prerequisite: MATH 312 or MATH 510, or permission of instructor; corequisite: STAT 598
Topics include lifetime distributions, hazard functions, competing-risks, proportional hazards, censored data, accelerated-life models, Kaplan-Meier estimator, stochastic models, renewal processes, and Bayesian methods for lifetime and reliability data analysis.

STAT 515 - (3) (SI) Actuarial Statistics
Prerequisite: MATH 312 or MATH 510, or permission of instructor
Covers the main topics required by students preparing for the examinations in Actuarial Statistics, set by the American Society of Actuaries. Topics include life tables, life insurance and annuities, survival distributions, net premiums and premium reserves, multiple life functions and decrement models, valuation of pension plans, insurance models, and benefits and dividends.

STAT 516 - (3) (E) Experimental Design
Prerequisite: MATH 312 or MATH 510, or permission of instructor; corequisite: STAT 598
Introduction to the basic concepts in experimental design. Topics include analysis of variance, multiple comparison tests, completely randomized design, general linear model approach to analysis of variance, randomized block designs, Latin square and related designs, completely randomized factorial design with two or more treatments, hierarchical designs, split-plot and confounded factorial designs, and analysis of covariance.

STAT 517 - (3) (O)
Applied Time Series
Prerequisite: MATH 312 or MATH 510, or permission of instructor; corequisite: STAT 598
Study of the basic time series models in both the time domain (ARMA models) and the frequency domain (spectral models). Emphasizes application to real data sets.

STAT 518 - (3) (SI) Numerical Methods in Statistics
Prerequisites: MATH 351 and knowledge of a programming language suitable for scientific computation, or permission of instructor
Study of selected topics in linear algebra and related numerical algorithms of special importance in statistics, including linear least-squares, eigenvalues and eigenvectors, QR decomposition, singular value decomposition, and generalized matrix inverses.

STAT 519 - (3) (Y)
Introduction to Mathematical Statistics
Prerequisite: MATH 312 or MATH 510, or permission of instructor
Study of the fundamentals of statistical distribution theory, moments, transformations of random variables, point estimation, hypothesis testing, confidence regions.

STAT 520 - (3) (O)
Design and Analysis of Sample Surveys
Prerequisite: MATH 112 or MATH 312, and graduate standing or permission of instructor
Discussion of the main designs and estimation techniques used in sample surveys, including simple random sampling, stratification, cluster sampling, double sampling, post-stratification, ratio estimation. Non-response problems and measurement errors are also discussed. Many properties of sample surveys are developed through simulation procedures. The SUDAAN computer package for analyzing sample surveys is used. Students who have received credit for STAT 313 may not take STAT 520 for credit.

STAT 531 - (3) (Y)
Design and Conduct of Clinical Trials
Prerequisite: MATH 312 or permission of instructor
Topics include experimental designs for randomized clinical trials, sources of bias in clinical studies, informed consent and other ethical issues, logistics, and interim monitoring procedures (group sequential and Bayesian methods).

STAT 598 - (1) (Y)
Applied Statistics Laboratory
Corequisite: A 500-level STAT applied statistics course
This course, the laboratory component of the division's applied statistics program, deals with the use of computer packages in data analysis. Enrollment in STAT 598 is required for all students in the division's 500-level applied statistics courses (STAT 501, 512, 513, 514, 516, 517, 520). STAT 598 may be taken repeatedly provided that a student is enrolled in at least one of these 500-level applied courses. However, no more than one unit of STAT 598 may be taken in any semester.

STAT 599 - (3) (IR)
Topics in Statistics
Prerequisite: Permission of instructor
A study of topics in statistics that are not part of the regular course offerings.

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