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Course Criteria
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3.00 Credits
Prereq: STAT 380. Survey of elementary experimental designs and their analyses completely randomized, randomized block, factorial, and splitplot designs.
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3.00 Credits
Prereq: STAT/ MATH 380 or IMSE 321 or permission. Sampling Techniques: simple random sampling, sampling proportions, estimation of sample size, stratified random sampling, ratio and regression estimates.
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3.00 Credits
(3 cr I) Lec 2, lab 3. Prereq: Introductory course in statistics. Offered fall semester of odd-numbered calendar years For course description, see FDST 430/830.
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3.00 Credits
Lec, lab. Prereq: STAT 218 or equivalent. Spatial point patterns, test of randomness, Morans I statistic and similar measures, checking assumptions for independence of observations, variography, estimation (point and global), Kriging, nearest neighbor techniques, cokriging, mixed models and their role in designed spatial experiments.
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3.00 Credits
Prereq: STAT/ MATH 380 or IMSE 321, and knowledge of matrix algebra. General linear models for estimation and testing problems, analysis and interpretation for various experimental designs.
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3.00 Credits
Prereq: MATH 208 or 107H. STAT 380 or equivalent is strongly recommended. Sample space, random variable, expectation, conditional probability and independence, moment generating function, special distributions, sampling distributions, order statistics, limiting distributions, and central limit theorem.
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3.00 Credits
Prereq: STAT 462. Interval estimation; point estimation, sufficiency, and completeness; Bayesian procedures; uniformly most powerful tests, sequential probability ratio test, likelihood ratio test, goodness of fit tests; elements of analysis of variance and nonparametric tests.
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3.00 Credits
Prereq: Permission. Special topics in either statistics or the theory of probability.
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3.00 Credits
Prereq: Prior arrangement with a faculty member and submission of proposed study plan to department office.
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4.00 Credits
Lec 3, lab 2. Prereq: Introductory course in statistics.
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