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About the Áù¾ÅÉ«ÌÃ
 Graduate Studies Calendar 2015-2016 Courses of Instruction Course Descriptions S Statistics STAT
Statistics STAT
STAT 600 601 603 619 625 633 635 637 639 701 703 721 723 761
 

Instruction offered by members of the Department of Mathematics and Statistics in the Faculty of Science.

Department Head - M. Bauer
 
Graduate Courses

Note: Some 500- and 600-level statistics courses may have concurrent lectures. Extra work in these courses (e.g., extra assignments, advanced examination questions, a term project) will be required for credit at the 600 level.
 
Statistics 600       Research Seminar
A professional skills course, focusing on the development of technical proficiencies that are essential for students to succeed in their future careers as practicing statistician in academia, government, or industry. The emphasis is on delivering professional presentations and using modern statistical research tools. A high level of active student participation is required.
Course Hours: 1.5 units; Q(3S-0)
Also known as: (formerly Statistics 621)
MAY BE REPEATED FOR CREDIT NOT INCLUDED IN GPA
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Statistics 601       Topics in Probability and Statistics
The content of this course is decided from year to year in accordance with graduate student interest and instructor availability. Topics include but are not restricted to: Advanced Design of Experiments, Weak and Strong Approximation Theory, Asymptotic Statistical Methods, the Bootstrap and its Applications, Generalized Additive Models, Order Statistics and their Applications, Robust Statistics, Statistics for Spatial Data, Statistical Process Control, Time Series Models.
Course Hours: 3 units; H(3-0)
MAY BE REPEATED FOR CREDIT
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Statistics 603       Applied Statistics for Nursing Research
Descriptive statistics; probability theory; statistical estimation/inference; power analysis; regression analysis; anova; logistic regression analysis; non-parametric tests; factor analysis; discriminant analysis; Cox's Proportional Hazard Model.
Course Hours: 3 units; H(3-1)
Also known as: (formerly Statistics 601.14)
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Statistics 619       Bayesian Statistics
Fundamentals of Bayesian inference, single and multiparameter models, hierarchical models, regression models, generalized linear models, advanced computational methods, Markov chain Monte Carlo.
Course Hours: 3 units; H(3-0)
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Statistics 625       Multivariate Analysis
Normal distribution. Statistical inference: confidence regions, hypothesis tests, analysis of variance, simultaneous confidence intervals. Principal components. Factor Analysis. Discrimination and classification. Canonical correlation analysis.
Course Hours: 3 units; H(3-0)
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Statistics 633       Survival Models
Advanced topics in survival models such as the product limit estimator, the cox proportional hazards model, time-dependent covariates, types of censorship.
Course Hours: 3 units; H(3-0)
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Statistics 635       Generalized Linear Models
Exponential family of distributions, binary data models, loglinear models, overdispersion, quasi-likelihood methods, generalized additive models, longitudinal data and generalized estimating equations, model adequacy checks.
Course Hours: 3 units; H(3-0)
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Statistics 637       Non-linear Regression
Topics include but are not restricted to selections from: linear approximations; model specification; various iterative techniques; assessing fit; multiresponse parameter estimation; models defined by systems of differential equations; graphical summaries of inference regions; curvature measures.
Course Hours: 3 units; H(3-0)
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Statistics 639       Conference Course in Actuarial Modelling
Topics in advanced actuarial theory and practice, such as: insurance risk models; practical analysis of extreme values; advanced property and casualty rate making; actuarial aspects of financial theory.
Course Hours: 3 units; H(3-0)
MAY BE REPEATED FOR CREDIT
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Statistics 701       Theory of Probability I

Course Hours: 3 units; H(3-0)
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Statistics 703       Theory of Probability II

Course Hours: 3 units; H(3-0)
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Statistics 721       Theory of Estimation

Course Hours: 3 units; H(3-0)
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Statistics 723       Theory of Hypothesis Testing

Course Hours: 3 units; H(3-0)
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Statistics 761       Stochastic Processes I

Course Hours: 3 units; H(3-0)
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In addition to the numbered and titled courses shown above, the department offers a selection of advanced level graduate courses specifically designed to meet the needs of individuals or small groups of students at the advanced doctoral level. These courses are numbered in the series 800.01 to 899.99. Such offerings are, of course, conditional upon the availability of staff resources.