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Course Criteria
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2.00 Credits
Analysis and practice of mathematical writing. Oral and poster conference presentations. Academic job interview skills. Mathematics on the web. Offered: jointly with AMATH 580/MATH 500.
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4.00 Credits
Design of experiments covering concepts such as randomization, blocking, and confounding. Analysis of experiments using randomization tests, analysis of variance, and analysis of covariance. Offered: A.
Prerequisite:
either STAT 342, MATH/STAT 390, ECON/STAT 481, ECON 580 or equivalent; MATH 308 or equivalent
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4.00 Credits
No course description available.
Prerequisite:
Separate File
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4.00 Credits
Least squares estimation. Hypothesis testing. Interpretation of regression coefficients. Categorical independent variables. Interactions. Assumption violations: outliers, residuals, robust regression; nonlinearity, transformations, ACE, CART; nonconstant variance. Variable selection and model averaging. Offered: jointly with CS&SS 504.
Prerequisite:
either STAT 342, STAT/MATH 390, STAT 421, STAT/ECON 481, or SOC 425; recommended: MATH 308
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4.00 Credits
Discreet and continuous random variables, independence and conditional probability, central limit theorem, elementary statistical estimation and inference, linear regression. Emphasis on physical applications. Offered: jointly with AMATH 506.
Prerequisite:
some advanced calculus and linear algebra
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5.00 Credits
No course description available.
Prerequisite:
Separate File
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4.00 Credits
Review of random variables; transformations, conditional expectation, moment generating functions, convergence, limit theorems, estimation; Cramer- Rao lower bound, maximum likelihood estimation, sufficiency, ancillarity, completeness. Rao-Blackwell theorem. Hypothesis testing: Neyman-Pearson lemma, monotone likelihood ratio, likelihood-ratio tests, large-sample theory. Contingency tables, confidence intervals, invariance. Introduction to decision theory. . Offered: A.
Prerequisite:
STAT 395 and STAT 421, STAT 423, STAT 504, or BIOST 512 (concurrent registration permitted for these three
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4.00 Credits
Review of random variables; transformations, conditional expectation, moment generating functions, convergence, limit theorems, estimation; Cramer- Rao lower bound, maximum likelihood estimation, sufficiency, ancillarity, completeness. Rao-Blackwell theorem. Hypothesis testing: Neyman-Pearson lemma, monotone likelihood ratio, likelihood-ratio tests, large-sample theory. Contingency tables, confidence intervals, invariance. Introduction to decision theory. Offered: W.
Prerequisite:
STAT 512
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4.00 Credits
Markovian and semi-Markovian models, point processes, cluster models, queuing models, likelihood methods, estimating equations. Offered: A.
Prerequisite:
STAT 511 or STAT 396
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4.00 Credits
Markovian and semi-Markovian models, point processes, cluster models, queuing models, likelihood methods, estimating equations. Offered: W.
Prerequisite:
STAT 516
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