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STAT 445-545: Nonparametric Statistics
3.00 Credits
South Dakota State University
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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STAT 445-545 - Nonparametric Statistics
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STAT 455-555: Matrix Algebra for Statistics
3.00 Credits
South Dakota State University
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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STAT 455-555 - Matrix Algebra for Statistics
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STAT 460-560: Time Series Analysis
3.00 Credits
South Dakota State University
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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STAT 460-560 - Time Series Analysis
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STAT 482-582: Statistics for Physical Science
3.00 Credits
South Dakota State University
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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STAT 482-582 - Statistics for Physical Science
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STAT 485: Theory of Statistics I
3.00 Credits
South Dakota State University
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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STAT 485 - Theory of Statistics I
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STAT 486-586: Design of Surveys
3.00 Credits
South Dakota State University
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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STAT 486-586 - Design of Surveys
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STAT 490-590: Seminar
1.00 - 2.00 Credits
South Dakota State University
Credits: (1-2)
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STAT 490-590 - Seminar
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STAT 491-591: Independent Study
1.00 - 3.00 Credits
South Dakota State University
Credits: (1-3)
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STAT 491-591 - Independent Study
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STAT 492-592: Topics
1.00 - 3.00 Credits
South Dakota State University
Credits: (1-3)
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STAT 492-592 - Topics
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STAT 498: Undergraduate Research/Scholarship
1.00 - 3.00 Credits
South Dakota State University
Credits: (1-3)
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STAT 498 - Undergraduate Research/Scholarship
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