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Course Criteria
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3.00 Credits
Credit Hours: 3.00. Fundamentals, completely randomized design; randomized complete blocks; latin square; multi-classification; factorial; nested factorial; incomplete block and fractional replications for 2n, 3n, 2m x 3n; confounding; lattice designs; general mixed factorials; split plot; analysis of variance in regression models; optimum design. Use of existing statistical programs. The distance offering of this course originates from the West Lafayette campus, is offered through streaming video via ProEd, and may be made available at the Calumet campus. Typically offered Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, IE Technical Electives, Upper Division
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1.00 - 3.00 Credits
Credit Hours: 1.00 to 3.00. A written report of a consultation problem involving a designed experiment or sampling plan in which the student participates with members of the Department of Statistics staff. Permission of instructor required. Typically offered Spring. 1.000 TO 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Experiential, Individual Study, Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, Upper Division
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3.00 Credits
Credit Hours: 3.00. A first course in probability, intended to serve as a background for statistics and other applications. Sample spaces and axioms of probability, discrete and continuous random variables, conditional probability and Bayes' theorem, joint and conditional probability distributions, expectations, moments and moment generating functions, law of large numbers, and central limit theorem. (The probability material in course one of the Society of Actuaries and the Casualty Actuarial Society is covered by this course.) The distance offering of this course originates from the West Lafayette campus, is offered through streaming video via ProEd, and may be made available at the Calumet campus. Typically offered Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, IE Technical Electives, Upper Division
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3.00 Credits
Credit Hours: 3.00. A basic course in statistical theory covering standard statistical methods and their application. Estimation including unbiased, maximum likelihood and moment estimation; testing hypotheses for standard distributions and contingency tables; confidence intervals and regions; introduction to nonparametric tests and linear regression. Typically offered Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, IE Technical Electives, Upper Division
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3.00 Credits
Credit Hours: 3.00. (MA 51900) Algebra of sets, sample spaces, combinatorial problems, independence, random variables, distribution functions, moment generating functions, special continuous and discrete distributions, distribution of a function of a random variable, limit theorems. Typically offered Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, Upper Division
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3.00 Credits
Credit Hours: 3.00. A first course in stationary time series with applications in engineering, economics, and physical sciences. Stationarity, autocovariance function and spectrum; integral representation of a stationary time series and interpretation; linear filtering, transfer functions; estimation of spectrum; multivariate time series. Use of computer programs for covariance and spectral estimation. Typically offered Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, Upper Division
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3.00 Credits
Credit Hours: 3.00. Survey designs; simple random, stratified, and systematic samples; systems of sampling; methods of estimation; costs. Offered in alternate years. Typically offered Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Distance Learning, Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, Upper Division
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3.00 Credits
Credit Hours: 3.00. Models generating binary and categorical response data, two-way classification tables, measures of association and agreement, goodness-of-fit tests, testing independence, large sample properties. General linear models, logistic regression, probit and extreme value models. Loglinear models in two and higher dimensions; maximum likelihood estimation, testing goodness-of-fit, partitioning chi-square, models for ordinal data. Model building, selection, and diagnostics. Computer applications using existing statistical software. Typically offered Summer Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture Regional Campus Only College
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3.00 Credits
Credit Hours: 3.00. Extension of univariate tests in normal populations to the multivariate case, equality of covariance matrices, multivariate analysis of variance, discriminant analysis and misclassification errors, canonical correlation, principal components, factor analysis. Strong emphasis will be placed on use of existing computer programs. Typically offered Fall. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, Upper Division
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3.00 Credits
Credit Hours: 3.00. Likelihood methods for analyzing data based on generalized linear models, and diagnostic methods for assessing the assumptions of such models. Introduction to statistical computer packages. Methods covered include multiple regression, analysis of variance for completely randomized designs, logistic response models, and hierarchical loglinear models for contingency tables. Typically offered Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: CH Technical Electives, Upper Division
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