|
Statistics |
|
-
STAT 5186 - Advanced Graduate Studies Credit(s): 1 To 3
This course involves individual studies in statistics. Repeated: Yes |
|
-
STAT 5187 - Advanced Graduate Studies Credit(s): 1 To 3
Individual studies in graduate level statistics. Repeated: Yes |
|
-
STAT 5189 - Thesis Research Credit(s): 1 to 3
This course involves research and preparation for writing the thesis. Note: Students completing a thesis must register each semester university resources are being utilized. Repeated: Yes Prerequisite Course(s): MATH 5388 Non-Course Prerequisite(s): or approval of graduate advisor
|
|
-
STAT 5190 - Thesis Writing Credit(s): 1 To 6
This course involves writing of the thesis. Note: Students completing a thesis must register each semester university resources are being utilized. Repeated: Yes Prerequisite Course(s): STAT 5189
|
|
-
STAT 5340 - Statistical Analysis I Credit(s): 3
Probability, statistical inference, rank tests, chi-square tests, linear regression and correlation, analysis of variance, multiple regression. |
|
-
STAT 5341 - Statistical Analysis II Credit(s): 3
Analysis of variance, multiple comparisons, blocking designs, higher factorial experiments, unbalanced designs, fixed and random effects, nested designs, split-plot designs, analysis of covariance. |
|
-
STAT 5342 - Regression Analysis Credit(s): 3
Linear regression, non-linear models, multiple regression. |
|
-
STAT 5343 - Stochastic Processes Credit(s): 3
Markov chains, Poisson and renewal processes, continuous-time Markov processes, including birth and death processes, queuing theory. |
|
-
STAT 5344 - Applied Multivariate Analysis Credit(s): 3
Cluster analysis, factor-analysis, discriminant analysis, canonical correlation analysis and multivariate analysis of variance and covariance. |
|
-
STAT 5345 - Applied Nonparametric Statistics Credit(s): 3
An introduction to nonparametric analysis of the following: dichotomous data problems, one- and two-sample location problems, dispersion problems, and the one- and two-way layout. Nonparametric measures of association and basic nonparametric methods in regression. |
|
-
STAT 5346 - Applied Time Series Credit(s): 3
Time series of regression, autocorrelation and partial autocorrelation functions, autoregressive moving average models, model identification and specification techniques, stationarity and intertibility conditions, seasonal and nonseasonal modeling, forecasting. |
|
-
STAT 5360 - Statistics for Nursing Credit(s): 3
This course provides an exploration of the applications of statistics to the field of nursing. Repeated: No |
|
-
STAT 5385 - Advanced Topics in Statistics Credit(s): 3
This course covers topics in statistics. Repeated: No Non-Course Prerequisite(s): graduate standing and consent of instructor Registration Restriction by Classification Master’s Candidate, Doctoral Registration Restriction by Major MATH
|
|
-
STAT 6390 - Advanced Topics in Statistics Credit(s): 3
Students study advanced topics in statistics. Repeated: Yes Registration Restriction by Classification Doctoral
|
|