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Department of Statistics and Actuarial Science
K10545 Shrum Science Centre, (604) 2913803 Tel, (604) 2914368 Fax, www.stat.sfu.ca/stats
C.B. Dean BSc (Sask), MMath, PhD (Wat)
- Graduate Program Chair
R.A. Lockhart BSc (Br Col), MA, PhD (Calif)
- Faculty and Areas of Research
C.B. Dean - spatial statistics, disease mapping, statistics in health
J. Graham - statistical genetics
R.A. Lockhart - goodness-of-fit testing, inference on stochastic processes, large sample theory
B. McNeney - biostatistics, epidemiology and epidemiologic study design
R.D. Routledge - biometrics, estimating the sizes of animal populations
C. Schwarz - modelling of animal population dynamics, capture-recapture methods
R.R. Sitter - sample surveys, design of experiments, biostatistics
M.A. Stephens* - goodness-of-fit testing and directional data
T.B. Swartz - statistical computing, Bayesian methods and applications
C. Villegas* - Bayesian inference
K.L. Weldon - foundations of statistics, applied probability and simulation, graphics
J.L. Wirch - actuarial mathematics, insurance solvency, applied probability
see "1.3 Admission". for admission requirements. Applicants normally submit scores in the aptitude section of the Graduate Record Examinations of the Educational Testing Service. Applicants whose first language is not English normally submit the Test of English as a Foreign Language results.
Applicants with degrees in areas other than statistics are encouraged to apply provided they have some formal training in statistical theory and practice.
The program instructs students on a wide range of statistical techniques and provides experience in the practical application of statistics. The program teaches statistical expertise in preparation for a career in either theoretical or applied statistics.
Students in the program will be required to
- · complete at least 30 credit hours of course work in Statistics and related fields beyond courses taken for the bachelor's degree. Of these 30 hours, at least 24 are to be in graduate courses or graduate seminars, and the remaining six may be chosen from graduate courses or those 400 level undergraduate courses which may be taken for credit for the BSc in statistics. Normally these courses will include STAT 801, 811 and 812 and at least four of STAT 802, 803, 804, 805, 806, 870, 890, 891.
- · complete satisfactorily STAT 811 and 812
- · submit and defend successfully a project (as outlined in the Graduate General Regulations) based on some problem of statistical analysis. This problem will ordinarily arise out of the statistical consulting service.
Students with a good undergraduate background in statistics will normally complete the course work in four semesters. The project, including the defence, is expected to require two semesters or less. Students with backgrounds in other disciplines, or with an inadequate background in statistics, may be required to take certain undergraduate courses in the department in addition to the above requirements.
A candidate will generally obtain at least 30 credit hours beyond those for the bachelor's degree. Of these, at least 22 will be graduate courses and the remaining eight may be from graduate courses or those 400 level undergraduate courses which may be taken for credit for the BSc in statistics. Students who hold an MSc in statistics are deemed to have earned 18 of the 22 graduate hours and four of the eight undergraduate or graduate hours required. The course work in all cases will involve study in at least four different areas of statistics and probability.
Candidates normally pass a general examination covering a broad range of senior undergraduate statistics material. A candidate ordinarily cannot take the general exam more than twice. This exam is completed within four full time semesters of initial PhD enrolment.
Students submit and successfully defend a thesis which will embody a significant contribution to statistical knowledge.
see "Graduate General Regulations". for further information and regulations.
Students in the MSc or PhD program may obtain work experience during their graduate studies by participating in the co-operative education program. Employment lasting one or two semesters with government agencies, companies or other organizations employing statisticians is arranged for qualified students. Such employment often provides the problem which forms the basis of the MSc project.
Statistics Graduate Courses
- STAT 602-3 Generalized Linear and Non-linear Modelling
A methods oriented unified approach to a broad array of nonlinear regression modelling methods including classical regression, logistic regression, probit analysis, dilution assay, frequency count analysis, ordinal type responses, and survival data. A project will be assigned related to the student's field of study. Prerequisite: STAT 302 or 330 or permission of instructor. Open only to graduate students in departments other than Mathematics and Statistics.
- STAT 650-5 Quantitative Analysis in Resource Management and Field Biology
The use of statistical techniques and mathematical models in resource management with special emphasis on experimentation, survey techniques, and statistical model construction. (5-0-0) Prerequisite: A course in parametric and non-parametric statistics. This course may not be used for the satisfaction of degree requirements in the Department of Statistics and Actuarial Science.
- STAT 801-4 Mathematical Statistics
Advanced mathematical statistics. A survey of basic concepts in point estimation, interval estimation and hypothesis testing. Principles of inference.
- STAT 802-4 Multivariate Analysis
An advanced course in multivariate analysis. Factor analysis, discriminant analysis, principal components, canonical correlations. Multivariate regression and analysis of variance.
- STAT 803-4 Data Analysis
A problem based course emphasizing the exploratory aspects of statistical analysis with emphasis on modern computer oriented methods. Prerequisite: STAT 450 or equivalent or permission of the instructor.
- STAT 804-4 Time Series Analysis
An introduction to time series models and their analysis. Both time-domain and frequency-domain techniques will be studied. Prerequisite: STAT 450 or equivalent or permission of the instructor.
- STAT 805-4 Non-Parametric Statistics and Discrete Data Analysis
Order statistics, rank statistics, procedures based on the empirical distribution function. Asymptotic efficiencies, goodness-of-fit, contingency tables, log-linear models and further topics will be offered. Prerequisite: STAT 330 and 420 or equivalent or permission of the instructor.
- STAT 806-4 Lifetime Data Analysis
Statistical methodology used in analysing failure time data. Likelihoods under various censoring patterns. Inference using parametric regression models including the exponential, Weibull, lognormal, generalized gamma distributions. Goodness-of-fit tests. The proportional hazards family, and inference under the proportional hazards model. Stratification and blocking in proportional hazards models. Time dependent covariates. Regression methods for grouped data. Prerequisite: STAT 450.
- STAT 811-2 Statistical Consulting I
This course is designed to give students some practical experience as a statistical consultant through classroom discussion of issues in consulting and participation in the department's Statistical Consulting Service under the direction of faculty members or the director. (2-0-0)
- STAT 812-2 Statistical Consulting II
Students will participate in the department's Statistical Consulting Service under the direction of faculty members or the director. (2-0-0)
- STAT 870-4 Applied Probability Models
Application of stochastic processes: queues, inventories, counters, etc. Reliability and life testing. Point processes. Simulation. Students with credit for MATH 871 may not take STAT 870 for further credit.
- STAT 880-0 Practicum I
First semester of work experience in the Co-operative Education Program.
- STAT 881-0 Practicum II
Second semester of work experience in the Cooperative Education Program.
- STAT 882-0 Practicum III
Third semester of work experience in the Cooperative Education Program.
- STAT 883-0 Practicum IV
Fourth semester of work experience in the Cooperative Education Program.
- STAT 890-4 Statistics: Selected Topics
- STAT 891-2 Seminar
A course to be team taught by current and visiting faculty and with topics chosen to match the interests of the students.
- STAT 894-2 Reading
- STAT 895-4 Reading
- STAT 898-0 MSc Thesis/Project
- STAT 899-0 PhD Thesis/Project
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|Index : searchable with the Find function in your web browser||Calendar.pdfs||Office of the Registrar / SFU|
|Table of Contents : searchable with the Find function in your web browser||Course Database or Course Outlines
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