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ST Courses, Corvallis Campus

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Top ST 199 SPECIAL TOPICS (3)  Offered in current or future terms
This course can only be taken once unless instructor permission is provided.

Top ST 201 PRINCIPLES OF STATISTICS (4)  Offered in current or future terms
Study design, descriptive statistics, the use of probability in statistical arguments, sampling, hypothesis tests and confidence intervals for means and proportions. Lec/rec. PREREQS: High school algebra. ST 201 and ST 202 must be taken in order.

Top ST 202 PRINCIPLES OF STATISTICS (4) 
Comparisons of means and proportions between two populations (t-tests, chi-square tests, nonparametric tests), simple linear regression, correlation. Lec/rec. PREREQS: ST 201 [D-]

Top ST 314 INTRODUCTION TO STATISTICS FOR ENGINEERS (3)  Offered in current or future terms
Probability, common probability distributions, sampling distributions, estimation, hypothesis testing, control charts, regression analysis, experimental design. PREREQS: (MTH 252 [D-] or MTH 252H [D-] )

Top ST 351 INTRODUCTION TO STATISTICAL METHODS (4)  Offered in current or future terms
Study designs, descriptive statistics, collecting and recording data, probability distributions, sampling distributions for means and proportions, hypothesis testing and confidence intervals for means and proportions in one- and two-sample inference, and chi-square tests. Lec/lab. PREREQS: High school algebra with statistics. ST 351 and ST 352 must be taken in order.

Top ST 351H INTRODUCTION TO STATISTICAL METHODS (4)  Offered in current or future terms
Study designs, descriptive statistics, collecting and recording data, probability distributions, sampling distributions for means and proportions, hypothesis testing and confidence intervals for means and proportions in one- and two-sample inference, and chi-square tests. Lec/lab. PREREQS: High school algebra with statistics. ST 351 and ST 352 must be taken in order. Honors College approval required.

Top ST 352 INTRODUCTION TO STATISTICAL METHODS (4)  Offered in current or future terms
Randomization tests and other nonparametric tests for one- and two-sample inference, simple and multiple linear regression, correlation, one- and two-way analysis of variance, logistic regression. Lec/lab. PREREQS: (ST 351 [D-] or ST 351H [D-] ) and ST 351 and ST 352 must be taken in order.

Top ST 406 PROJECTS (1-16)  Offered in current or future terms
Section 1: Projects, graded P/N. Section 2: Teaching Experience, graded P/N. Section 3: Directed Work, graded P/N. This course is repeatable for a maximum of 16 credits.

Top ST 407 SEMINAR (1)  Offered in current or future terms
Attendance at consulting practicum. Graded P/N.

Top ST 410 INTERNSHIP (1-16)  Offered in current or future terms
Graded P/N. This course is repeatable for a maximum of 16 credits.

Top ST 411 METHODS OF DATA ANALYSIS (4)  Offered in current or future terms
Graphical, parametric and nonparametric methods for comparing two samples; one-way and two-way analysis of variance; simple linear regression. Lec/lab. PREREQS: ST 351 or the equivalent. ST 411, ST 412 and ST 413 must be taken in order.

Top ST 412 METHODS OF DATA ANALYSIS (4)  Offered in current or future terms
Multiple linear regression, including model checking, dummy variables, using regression to fit analysis of variance models, analysis of covariance, variable selection methods. Lec/lab. PREREQS: ST 411 [D-] and ST 351 or the equivalent.

Top ST 413 METHODS OF DATA ANALYSIS (4) 
Principles of experimental design; randomized block and factorial designs; repeated measures; categorical data analysis, including comparison of proportions, tests of homogeneity and independence in cross-classified frequency tables, Mantel-Haenszel test, logistic regression, log-linear regression. Introduction to multivariate statistics. Lec/lab. PREREQS: ST 412 [D-] and ST 351 or the equivalent.

Top ST 415 DESIGN AND ANALYSIS OF PLANNED EXPERIMENTS (3) 
Principles of experimental design; uses, construction and analysis of completely randomized, randomized block and Latin square designs; covariates; factorial treatments, split plotting; random effects and variance components. PREREQS: (ST 352 [D-] or ST 411 [D-] or ST 511 [D-] )

Top ST 421 INTRODUCTION TO MATHEMATICAL STATISTICS (4)  Offered in current or future terms
Probability, random variables, expectation, discrete and continuous distributions, multivariate distributions. PREREQS: MTH 253. ST 421 and ST 422 must be taken in order.

Top ST 422 INTRODUCTION TO MATHEMATICAL STATISTICS (4)  Offered in current or future terms
Sampling distributions, Central Limit Theorem, estimation, confidence intervals, properties of estimators, and hypothesis testing. PREREQS: ST 421 [D-] and MTH 253

Top ST 431 SAMPLING METHODS (3)  Offered in current or future terms
Estimation of means, totals and proportions; sampling designs including simple random, stratified, cluster, systematic, multistage and double sampling; ratio and regression estimators; sources of errors in surveys; capture-recapture methods. PREREQS: ST 411 or ST 511

Top ST 435 QUANTITATIVE ECOLOGY (3) 
Overview of statistical methods that are useful for analyzing ecological data, including spatial pattern analysis, multivariate techniques, logistic regression, Bayesian statistics and computer-intensive methods. Consideration of special topics such as population dynamics, food webs and ecological indicators. Not offered every year. PREREQS: (ST 412 [D-] or ST 512 [D-] )

Top ST 439 SURVEY METHODS (3) 
Survey design, data collection and analysis, general methodology. PREREQS: ST 201 [D-] or ST 351 [D-]

Top ST 441 PROBABILITY, COMPUTING, AND SIMULATION IN STATISTICS (4)  Offered in current or future terms
Review of probability, including univariate distributions and limit theorems. Random-number generation and simulation of statistical distributions. Bootstrap estimates of standard error. Variance reduction techniques. Emphasis on the use of computation in statistics using the MATLAB programming language. Lec/lab. PREREQS: (ST 422 [D-] or ST 522 [D-] )

Top ST 443 APPLIED STOCHASTIC MODELS (3) 
Development of stochastic models commonly arising in statistics and operations research, such as Poisson processes, birth-and-death processes, discrete-time and continuous-time Markov chains, renewal and Markov renewal processes. Analysis of stochastic models by simulation and other computational techniques. PREREQS: (ST 421 [D-] or ST 521 [D-] ) and experience with a high-level programming language or mathematical computation package.

Top ST 499 SPECIAL TOPICS (1-4)  Offered in current or future terms
This course is repeatable for a maximum of 8 credits.

Top ST 501 RESEARCH (1-16)  Offered in current or future terms
This course is repeatable for a maximum of 16 credits. PREREQS: Departmental approval required.

Top ST 503 THESIS (1-16)  Offered in current or future terms
This course is repeatable for a maximum of 999 credits. PREREQS: Departmental approval required.

Top ST 505 READING AND CONFERENCE (1-16)  Offered in current or future terms
This course is repeatable for a maximum of 16 credits. PREREQS: Departmental approval required.

Top ST 506 PROJECTS (1-16)  Offered in current or future terms
Section 1: Projects. Section 2: Teaching Experience. Section 3: Directed Work. This course is repeatable for a maximum of 16 credits.

Top ST 507 SEMINAR (1)  Offered in current or future terms
Section 1: Attendance at consulting practicum, 1 credit. Section 3: Research Seminar, 1 credit. Section 4: Computing Facilities, 1 credit. All sections graded P/N. This course is repeatable for a maximum of 99 credits.

Top ST 509 CONSULTING PRACTICUM (2)  Offered in current or future terms
The student provides statistical advice, under faculty guidance, on university-related research projects. This course is repeatable for a maximum of 99 credits. PREREQS: ST 507, section 1 and ST 553, or instructor approval required.

Top ST 510 INTERNSHIP (1-16)  Offered in current or future terms
Graded P/N. This course is repeatable for a maximum of 16 credits.

Top ST 511 METHODS OF DATA ANALYSIS (4)  Offered in current or future terms
Graphical, parametric and nonparametric methods for comparing two samples; one-way and two-way analysis of variance; simple linear regression. Lec/lab. PREREQS: ST 351 or the equivalent. ST 511, ST 512, and ST 513 must be taken in order.

Top ST 512 METHODS OF DATA ANALYSIS (4)  Offered in current or future terms
Multiple linear regression, including model checking, dummy variables, using regression to fit analysis of variance models, analysis of covariance, variable selection methods. Lec/lab. PREREQS: ST 511 [C] and ST 351 or the equivalent.

Top ST 513 METHODS OF DATA ANALYSIS (4) 
Principles of experimental design; randomized block and factorial designs; repeated measures; categorical data analysis, including comparison of proportions, tests of homogeneity and independence in cross-classified frequency tables, Mantel-Haenszel test, logistic regression, log-linear regression. Introduction to multivariate statistics. Lec/lab. PREREQS: ST 512 [C] and ST 351 or the equivalent.

Top ST 515 DESIGN AND ANALYSIS OF PLANNED EXPERIMENTS (3) 
Principles of experimental design; uses, construction and analysis of completely randomized, randomized block and Latin square designs; covariates; factorial treatments, split plotting; random effects and variance components. PREREQS: ST 352 or (ST 411 or ST 511)

Top ST 521 INTRODUCTION TO MATHEMATICAL STATISTICS (4)  Offered in current or future terms
Probability, random variables, expectation, discrete and continuous distributions, multivariate distributions. PREREQS: MTH 253. ST 521 and ST 522 must be taken in order.

Top ST 522 INTRODUCTION TO MATHEMATICAL STATISTICS (4)  Offered in current or future terms
Sampling distributions, Central Limit Theorem, estimation, confidence intervals, properties of estimators, and hypothesis testing. PREREQS: ST 521 [C] and MTH 253

Top ST 531 SAMPLING METHODS (3)  Offered in current or future terms
Estimation of means, totals and proportions; sampling designs including simple random, stratified, cluster, systematic, multistage and double sampling; ratio and regression estimators; sources of errors in surveys; capture-recapture methods. PREREQS: ST 411 or ST 511

Top ST 535 QUANTITATIVE ECOLOGY (3) 
Overview of statistical methods that are useful for analyzing ecological data, including spatial pattern analysis, multivariate techniques, logistic regression, Bayesian statistics and computer-intensive methods. Consideration of special topics such as population dynamics, food webs and ecological indicators. Not offered every year. PREREQS: ST 412 or ST 512

Top ST 539 SURVEY METHODS (3) 
Survey design, data collection and analysis, general methodology. PREREQS: ST 201 or ST 351

Top ST 541 PROBABILITY, COMPUTING, AND SIMULATION IN STATISTICS (4)  Offered in current or future terms
Review of probability, including univariate distributions and limit theorems. Random-number generation and simulation of statistical distributions. Bootstrap estimates of standard error. Variance reduction techniques. Emphasis on the use of computation in statistics using the S-Plus or MATLAB programming language. Lec/lab. PREREQS: ST 422 or ST 522

Top ST 543 APPLIED STOCHASTIC MODELS (3) 
Development of stochastic models commonly arising in statistics and operations research, such as Poisson processes, birth-and-death processes, discrete-time and continuous-time Markov chains, renewal and Markov renewal processes. Analysis of stochastic models by simulation and other computational techniques. PREREQS: (ST 421 or ST 521) and experience with a high-level programming language or mathematical computation package.

Top ST 551 STATISTICAL METHODS (4)  Offered in current or future terms
Properties of t, chi-square and F tests; randomized experiments; sampling distributions and standard errors of estimators, delta method, comparison of several groups of measurements; two-way tables of measurements. PREREQS: ST 422 or ST 522. Should concurrently enroll in MTH 341. ST 551, ST 552 and ST 553 must be taken in order.

Top ST 552 STATISTICAL METHODS (4)  Offered in current or future terms
Simple and multiple linear regression including polynomial regression, indicator variables, weighted regression, and influence statistics, nonlineral regression and linear models for binary data. PREREQS: ST 551 [C] and ST 422 or ST 522.

Top ST 553 STATISTICAL METHODS (4) 
Principles and analysis of designed experiments, including factorial experiments, analysis of covariance, random and mixed effect models. Lec/lab. PREREQS: ST 552 [C]

Top ST 555 ADVANCED EXPERIMENTAL DESIGN (3)  Offered in current or future terms
Designs leading to mixed models including split plots, repeated measures, crossovers and incomplete blocks. Introduction to experimental design in industry including confounding, fractional factorials and response surface methodology. Analysis of unbalanced data. PREREQS: ST 553 [C]

Top ST 557 APPLIED MULTIVARIATE ANALYSIS (3)  Offered in current or future terms
Multivariate data structures, linear combinations; principal components, factor and latent structure analysis, canonical correlations, discriminant analysis; cluster analysis, multidimensional scaling. Not offered every year. PREREQS: (ST 412 or ST 512) and (MTH 252 or MTH 245)

Top ST 559 BAYESIAN STATISTICS (3) 
Bayesian statistics for data analysis. Characterizations of probability; comparative (Bayesian versus frequentist) inference; prior, posterior and predictive distributions; hierarchical modeling. Computational methods include Markov Chain Monte Carlo for posterior simulation. PREREQS: ST 562

Top ST 561 THEORY OF STATISTICS (3)  Offered in current or future terms
Distributions of functions of random variables, joint and conditional distributions, sampling distributions, convergence concepts, order statistics. PREREQS: (ST 422 or ST 522). ST 561, ST 562, and ST 563 must be taken in order.

Top ST 562 THEORY OF STATISTICS (3)  Offered in current or future terms
Sufficiency, exponential families, location and scale families; point estimation: maximum likelihood, Bayes, and unbiased estimators; asymptotic distributions of maximum likelihood estimators; Taylor series approximations. PREREQS: ST 561 [C] and ST 422 or ST 522

Top ST 563 THEORY OF STATISTICS (3) 
Hypothesis testing: likelihood ratio, Bayesian, and uniformly most powerful tests; similar tests in exponential families; asymptotic distributions of likelihood ratio test statistics; confidence intervals. PREREQS: ST 562 [C] and ST 422 or ST 522

Top ST 565 TIME SERIES (3)  Offered in current or future terms
Analysis of serially correlated data in both time and frequency domains. Autocorrelation and partial autocorrelation functions, autoregressive integrated moving average models, model building, forecasting; filtering, smoothing, spectral analysis, frequency response studies, Offered winter term in even years. PREREQS: (ST 412 or ST 512) and (ST 422 or ST 522)

Top ST 567 SPATIAL STATISTICS (3) 
The analysis of spatial data. Graphical tools for exploring spatial data, geostatistics, variogram estimation, kriging, areal models, hierarchical spatial models, and spatio-temporal modelling. Offered winter term in odd years. PREREQS: (ST 412 or ST 512) and (ST 422 or ST 522)

Top ST 573 ECOLOGICAL SAMPLING (3) 
Sampling of animal populations, frameless sampling, detectability, line transects, circular plots, mark-recapture, line intercept sampling; spatial sampling, quadrats, kriging; adaptive sampling designs. Not offered every year. PREREQS: (ST 412 or ST 512) and (ST 421 or ST 521)

Top ST 592 STATISTICAL METHODS FOR GENOMICS RESEARCH (3) 
Lectures include an overview of statistical methods commonly applied in genomics research. Specific methods can vary term to term, and could include cluster analysis, decision trees, dimension reduction tools, regression models, multiple testing adjustment, variable selection methods, etc. Journal clubs include team-based review and presentations of landmark papers in both statistical methodology and genomics research. Research experience includes whole-term collaboration between students from statistics and other disciplines on real projects. PREREQS: ST 411 or ST 511 or an equivalent/higher-level course such as ST 551. ST 411 or ST 511 is recommended.

Top ST 599 SPECIAL TOPICS (1-4)  Offered in current or future terms
May be repeated for credit when topic varies. This course is repeatable for a maximum of 16 credits.

Top ST 601 RESEARCH (1-16)  Offered in current or future terms
This course is repeatable for a maximum of 16 credits. PREREQS: Instructor approval required.

Top ST 603 THESIS (1-16)  Offered in current or future terms
This course is repeatable for a maximum of 999 credits. PREREQS: Instructor approval required.

Top ST 606 PROJECTS (1-16)  Offered in current or future terms
This course is repeatable for a maximum of 16 credits.

Top ST 623 GENERALIZED REGRESSION MODELS I (3)  Offered in current or future terms
Maximum likelihood analysis for frequency data; regression-type models for binomial and Poisson data; iterative weighted least squares and maximum likelihood; analysis of deviance and residuals; overdispersion and quasi-likelihood models; log-linear models for multidimensional contingency tables. PREREQS: (ST 553 [C] and ST 563 [C] )

Top ST 625 GENERALIZED REGRESSION MODELS II (3)  Offered in current or future terms
Parametric methods for the analysis of censored survival data, based mostly on large-sample likelihood theory. Specific topics include the Kaplan-Meier estimator, the log-rank test, partial likelihood, and regression models, including the Cox proportional-hazards model and its generalizations. PREREQS: (ST 553 [C] or ST 563 [C] )

Top ST 651 LINEAR MODEL THEORY (3)  Offered in current or future terms
Least squares estimation, best linear unbiased estimation, parameterizations, multivariate normal distributions, distributions of quadratic forms, testing linear hypotheses, simultaneous confidence intervals. Offered alternate years. PREREQS: ST 553 and ST 563. ST 651 and ST 652 must be taken in order.

Top ST 652 LINEAR MODEL THEORY (3) 
Advanced topics including classification models, mixed-effects models and multivariate models. Offered alternate years. PREREQS: ST 651 [C] and ST 553 and ST 563

Top ST 661 ADVANCED THEORY OF STATISTICS (3) 
Exponential families, sufficient statistics; unbiased, equivariant, Bayes, and admissible estimation. Offered alternate years. PREREQS: ST 563 and MTH 511. ST 661, ST 662, and ST 663 must be taken in order.

Top ST 662 ADVANCED THEORY OF STATISTICS (3) 
Uniformly most powerful, unbiased, similar, and invariant tests. Offered alternate years. PREREQS: ST 661 [C] and ST 563 and MTH 511

Top ST 663 ADVANCED THEORY OF STATISTICS (3)  Offered in current or future terms
First-order and higher-order asymptotics; likelihood ratio, score, and Wald tests; Edgeworth and saddlepoint approximations. Offered alternate years. PREREQS: ST 662 [C] and ST 563 and MTH 511



 
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