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Course Criteria
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3.00 Credits
Prereq Math 171 or 220; Stat 412. Rigorous approach to biostatistical and epidemiological methods including relative risk, odds ratio, cross-over designs, survival analysis and generalized linear models. Cooperative course taught by WSU, open to UI students (STAT 522).
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3.00 Credits
Prereq Stat 360 or one 3 hour statistics course. Graduate-level counterpart of Stat 423; additional requirements. Credit not granted for both Stat 423 and 523.
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3.00 Credits
Prereq Stat 360 or 412. The design and analysis of experiments by linear models.
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3.00 Credits
Prereq Math 420, Stat 430, or 456. Theoretical basis of linear regression and analysis of variance models; a unified approach based upon the generalized inverse. Cooperative course taught jointly by WSU and UI (STAT 575).
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3.00 Credits
Prereq Stat 430 or 456. Conceptual development of regression; estimation, prediction, tests of hypotheses, variable selection, diagnostics, model validation, correlation, and nonlinear regression. Cooperative course taught jointly by WSU and UI (STAT 550).
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3.00 Credits
Prereq (Stat 443 and 530), Stat 523, or by instructor's permission. Generation of random variables, Monte Carlo simulation, bootstrap and jackknife methods, EM algorithm, Markochain Monte Carlo methods. Cooperative course taught jointly by WSU and UI (STAT 565).
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3.00 Credits
Prereq Stat 430 or 443. Poisson and Markoprocesses; queuing theory; auto-covariance; stationarity; power spectra; harmonic analysis; linear mean-square predictions. Cooperative course taught jointly by WSU and UI (MATH 538).
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3.00 Credits
Prereq Math 273; Stat 430 or 443. Probability spaces, combinatorics, multidimensional random variables, characteristic function, special distributions, limit theorems, stochastic processes, order statistics.
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3.00 Credits
Prereq Stat 548. Continuation of Stat 548. Statistical inferences; estimation and testing hypotheses; regression analysis; sequential analysis and nonparametric methods.
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3.00 Credits
Prereq Stat 443. Stochastic models in ecological work; discrete and continuous statistical distributions, birth-death processes, diffusion processes; applications in population dynamics, population genetics, ecological sampling, spatial analysis, and conservation biology. (Spring, Alt/yrs). Cooperative course taught by UI, open to WSU students (STAT 555).
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