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Course Criteria
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3.00 Credits
Overview of nonparametric methods, such as rank tests, goodness of fit tests, 2 x 2 tables, nonparametric estimation. Useful for students with only a statistical methods course background. Offered: jointly with BIOST 425; when demand is sufficient.
Prerequisite:
STAT/MATH 390
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4.00 Credits
Techniques for analysis of count data. Log-linear models, logistic regression, and analysis of ordered response categories. Illustrations from the behavioral and biological sciences. Computational procedures. Offered: alternate years.
Prerequisite:
either STAT 342, STAT 362, or STAT 421
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4.00 Credits
Multivariate techniques commonly used in the social and behavioral sciences. Linear models for dependence analysis (multivariate regression, MANOVA, and discriminant analysis) and for interdependence analysis (principal components and factor analysis). Techniques applied to social science data using computer statistical packages. Offered: alternate years.
Prerequisite:
either STAT 342, STAT 362, or STAT 421
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3.00 Credits
Gallucci, Rustagi Theory and applications of sampling finite populations including: simple random sampling, stratified random sampling, ratio estimates, regression estimates, systematic sampling, cluster sampling, sample size determinations, applications in fisheries and forestry. Other topics include sampling plant and animal populations, sampling distributions, estimation of parameters and statistical treatment of data. Offered: jointly with Q SCI 480; even years.
Prerequisite:
Q SCI 482; recommended: Q SCI 483
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5.00 Credits
Probability, generating functions; the d-method, Jacobians, Bayes theorem; maximum likelihoods, Neyman- Pearson, efficiency, decision theory, regression, correlation, bivariate normal. (Credit allowed for only one of 390, 481, and ECON 580.) Recommended: MATH 324. Offered: jointly with CS&SS/ECON 481; A.
Prerequisite:
STAT/ECON 311; either MATH 136 or MATH 126 with either MATH 308 or MATH 309
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3.00 Credits
Topics in analysis of variance and experimental designs: choice of designs, comparison of efficiency, power, sample size, pseudoreplication, factor structure. Offered: jointly with Q SCI 486.
Prerequisite:
Q SCI 482; recommended: Q SCI 483
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3.00 Credits
No course description available.
Prerequisite:
Separate File
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3.00 Credits
Introductory stochastic calculus mathematical foundation for pricing options and derivatives. Basic stochastic analysis tools, including stochastic integrals, stochastic differential equations, Ito’s formula, theorems of Girsanov and Feynman-Kac, Black-Scholes option pricing, American and exotic options, bond options. Offered: jointly with MATH 492; W.
Prerequisite:
MATH STAT 394-5
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1.00 - 5.00 Credits
Reading and lecture course intended for special needs of students. Offered: when demand is sufficient.
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1.00 - 5.00 Credits
Offered: AWSpS.
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