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Course Criteria
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0.00 - 3.00 Credits
Semester: Fall of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 422 or STT 442 or STT 862 Description: Application of statistical sampling theory to survey designs. Simple random, stratified, and systematic samples. Sub-sampling, double sampling. Ratio and regression estimators. Effective Dates: FALL 1995 - Open
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0.00 - 3.00 Credits
Semester: Spring of even years Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 442 or STT 862 Not open to students with credit in: FW 850 Description: Multivariate normal distribution, tests of hypotheses on means, multivariate analysis of variance. Discriminant analysis. Principal components. Factor analysis. Analysis of frequency data. Effective Dates: SUMMER 2007 - Open View all versions of this course
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0.00 - 3.00 Credits
Semester: Spring of odd years Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 442 or STT 862 Description: Stationary time series. Autocorrelation and spectra. ARMA and ARIMA processes: estimation and forecasting. Seasonal ARIMA models. Identification and diagnostic techniques. Multivariate time series. Time series software. Effective Dates: FALL 2004 - Open View all versions of this course
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0.00 - 3.00 Credits
Semester: Spring of odd years Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 422 or STT 442 or STT 862 Description: Analysis of lifetime data. Estimation of survival functions for parametric and nonparametric models. Censored data. The Cox proportional hazards model. Accelerated failure time models. Frailty models. Use of statistical software packages. Interdepartmental With: Epidemiology Administered By: Statistics and Probability Effective Dates: FALL 2008 - Open View all versions of this course
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3.00 Credits
Semester: Spring of even years Credits:Total Credits: 4 Lecture/Recitation/Discussion Hours: 3 Lab Hours: 2 4(3-2) Recommended Background: (STT 422 or concurrently) and MTH 314 Description: Application of multivariate methods to research problems. Hotelling's T-test, profile analysis, discriminant analysis, canonical correlation, principal components, principal coordinates, correspondence analysis, and cluster analysis. Semester Alias: FOR 976 Interdepartmental With: Fisheries and Wildlife Administered By: Fisheries and Wildlife Effective Dates: FALL 2008 - Open View all versions of this course
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0.00 - 3.00 Credits
Semester: Fall of odd years Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 442 or STT 862 Description: Probabilistic and statistical methods for genetic linkage and association studies. Quantitative trait locus mapping. Effective Dates: FALL 2007 - Open
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0.00 - 3.00 Credits
Semester: Fall of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: MTH 320 or concurrently Description: Discrete and continuous random variables and vectors. Important probability models. Inequalities and limit laws. Sampling distributions and functions of random vectors. Statistical inference. Effective Dates: FALL 1995 - Open
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0.00 - 3.00 Credits
Semester: Spring of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 861 and (MTH 415 or concurrently) Description: Statistical inference: sufficiency, likelihood, estimation, and tests of hypotheses in parametric and nonparametric cases. Linear models, goodness of fit, and other topics. Effective Dates: SPRING 2006 - Open View all versions of this course
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0.00 - 3.00 Credits
Semester: Fall of every year Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: (STT 442 or STT 862) and (MTH 415 or concurrently) Description: Application of regression models including simple and multiple regression, model diagnostics, model selection, one- and two-way analysis of variance, mixed effects models, randomized block designs, and logistic regression. Semester Alias: STT 841 Effective Dates: SPRING 2006 - Open View all versions of this course
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0.00 - 3.00 Credits
Semester: Spring of odd years Credits:Total Credits: 3 Lecture/Recitation/Discussion Hours: 3 3(3-0) Recommended Background: STT 863 Description: Generalized linear models, loglinear models, hierarchical models, repeated measures, discriminant analysis and classification, clustering, regression, classification trees, selected nonparametric methods. Effective Dates: FALL 2004 - Open
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