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Course Criteria
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3.00 Credits
Covers many standard nonparametric methods of analysis. Methods will be compared with one another and with parametric methods where applicable. Attention will be given to: (1) analogies with regression and ANOVA; (2) emphasis on construction of tests tailored to specific problems; and (3) logistic analysis. Credits: 3 Prerequisites: P, STAT 281, MATH 381 or STAT 381.
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3.00 Credits
Matrix/Linear Algebra concepts especially useful in statistics, focusing on those not covered in a typical undergraduate linear algebra course, such as quadratic forms, idempotent, positive definite, generalized inverse, matrix decomposition, and matrix calculus. Credits: 3 Prerequisites: P, MATH 215.
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3.00 Credits
Statistical methods for analyzing data collected sequentially in time where successive observations are dependent. Includes smoothing techniques, decomposition, trends and seasonal variation, forecasting methods, models for time series: stationarity, autocorrelation, linear filters, ARMA processes, non-stationary processes, model building, forecast errors and confidence intervals. Credits: 3 Prerequisites: P, STAT 281 or STAT 381 or MATH 381.
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3.00 Credits
Introduction to statistical design, one-way completely randomized design, testing contrasts and multiple comparison procedures, simple and multiple linear regression, factorial designs, fractional factorial designs and mixed models. SAS software is used extensively. Credits: 3 Prerequisites: P, MATH/STAT 381.
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3.00 Credits
Maximum likelihood estimators, interval estimators, tests of hypothesis, linear regression, distribution-free methods, and characteristic function distribution of random variables. Credits: 3 Prerequisites: P, MATH/STAT 381.
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3.00 Credits
Constructing and analyzing designs for survey investigations; simple random, stratified, cluster, multistage, and multiphase designs; and methods of estimation. Techniques and methods of obtaining and reporting survey information. Credits: 3 Prerequisites: P, STAT 381 or permission of the instructor.
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1.00 - 2.00 Credits
Credits: (1-2)
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1.00 - 3.00 Credits
Credits: (1-3)
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1.00 - 3.00 Credits
Credits: (1-3)
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1.00 - 3.00 Credits
Credits: (1-3)
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