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Course Criteria
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0.00 - 6.00 Credits
Credit Hours: 0.00 to 6.00 (West Lafayette, IUPUI) 1.00 to 3.00 (North Central) Directed study and reports for students who wish to undertake individual reading and study on approved topics. Permission of instructor required. Typically offered Fall Spring Summer. 0.000 TO 6.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Individual Study, Lecture 1, Lecture, Presentation, Practice Study Observation College of Science College Statistics Department Course Attributes: CH Technical Electives, Upper Division, Variable Title
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3.00 Credits
Credit Hours: 3.00. This course teaches students the computer skills needed in much of modern advanced statistical work. Introduces students to R, a specialized statistical language for data analysis, and to C. Also included are fundamentals of data structures and algorithms, and techniques such as EM, the bootstrap, and Monte Carlo. Skills are sharpened via a medium-scale programming project. Students should have programming experience and be able to write, debug, and compile a simple program in a language such as C, C++, Pascal, FORTAN, or Java. Typically offered Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department Course Attributes: Upper Division
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3.00 Credits
Credit Hours: 3.00. (MA 638) Advanced topics in probability theory which may include stationary processes, independent increment processes, Gaussian processes; martingales, Markov processes, ergodic theory. Prerequisite: STAT 53900. Typically offered Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department
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3.00 Credits
Credit Hours: 3.00. (MA 639) Continuation of STAT 638. Typically offered Fall. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department
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3.00 Credits
Credit Hours: 3.00. Sequential analysis. Sequential probability ratio test. Approximations. Open-ended tests. Sequential Bayes rules. Robustness. Complete class theorems. Monotone likelihood ratio families. Essentially complete classes. Most powerful tests in restricted classes. Unbiasedness. Similarity. Invariance. Maximal invariants.Most powerful invariant tests. Prerequisite: STAT 53800, 57600. Typically offered Fall Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department
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3.00 Credits
Credit Hours: 3.00. Hunt-Stein theorem. Minimax theorem. Restricted Bayes rules. Gamma-minimaxity. Optimality in restricted classes. Admissibility. Criterions of admissibility. Admissibility proofs. Inadmissible traditional estimators. Information inequality. Asymptotic estimation theory. Local asymptotic normality. Contiguity. M- and L-estimators. Asymptotic efficiency. Adaptive procedures. Prerequisite: STAT 65700 or 66700. Typically offered Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department
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3.00 Credits
Credit Hours: 3.00. Decision theoretic approach to statistical problems, complete class theorems, Bayes and minimax procedures, sequential decision problems, sufficiency, comparison of experiments, invariance; most stringent, similar, unbiased, likelihood ratio tests; efficiency, Cramer-Rao inequality, estimation analogues of good tests; confidence sets. Prerequisite: MA 57100, STAT 52800, 53900, 57600. Typically offered Fall. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department
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3.00 Credits
Credit Hours: 3.00. Large sample properties of tests and estimates, sequential procedures with small cost of observation, problems of consistency and various forms of asymptotic efficiency, nonregular estimation problems, inference from stochastic processes. Prerequisite: MA 57100, STAT 53900, STAT 57600 or 65700. Typically offered Spring. 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture College of Science College Statistics Department
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1.00 - 3.00 Credits
Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer. 1.000 TO 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Individual Study, Lecture, Practice Study Observation College of Science College Statistics Department Course Attributes: Variable Title
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1.00 - 3.00 Credits
Credit Hours: 1.00 to 3.00. Topics vary. Permission of instructor required. Typically offered Fall Spring Summer. 1.000 TO 3.000 Credit Hours Levels: Graduate, Professional, Undergraduate Schedule Types: Individual Study, Lecture, Presentation College of Science College Statistics Department Course Attributes: Variable Title
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