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Course Criteria
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3.00 Credits
Inference in simple, multiple, polynomial and non- linear regression. Stepwise regression, subset selection; residual analysis, tranformations and diagnostics. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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3.00 Credits
Simple random sampling, stratified sampling, one- stage and two-stage cluster sampling. Ratio, regression, difference estimation. Estimation of population size. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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3.00 Credits
Probabilistic models for the reliability of coherent systems. Statistical models for lifetimes of components and for repairable systems. Reliability estimation and production. MIL standards. Same as IME 463. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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3.00 Credits
Markov chains with applications. Poisson processes. Markov processes with discrete states in continuous time. Renewal theory and queuing theory. Brownian motion and stationary processes. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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3.00 Credits
Utility theory, risk models, survival distributions, life tables. Life insurance models, life annuities, premium calculation, valuation theory for pension plans. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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3.00 Credits
Utility theory, risk models, survival distributions, life tables. Life insurance models, life annuties, premium calculation, valuation theory for pension plans. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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3.00 Credits
Quality design by experimental design; determination of process capability; quality control using statistical control charts; acceptance sampling. Same as IME 465. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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9.00 Credits
Research and reading in specified area of interest such as analysis of variance, design of experiments, estimation, testing hypotheses, linear models, robust procedures, reliability. May be repeated to a maximum of 9 hours. Prerequisite: written consent of adviser and instructor. 1.000 TO 3.000 Credit Hours 1.000 TO 3.000 Other hours Levels: Graduate, Undergraduate Schedule Types: Independent Study College of Arts and Sciences College Mathematics & Statistics Department
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0.00 Credits
0.000 TO 300.000 Credit Hours 0.000 TO 300.000 Lecture hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture Transfer Credit College General Transfer Department
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3.00 Credits
Numerical methods for statistical analysis. Numerical linear algebra for multiple regression. Unconstrained optimization for approximation of maximum likelihood estimates. Numerical integration and function approximation. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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