STAT Statistics



STAT-520 Statistical Methods 3 cr.
Fall, Spring and Summer
Methods of describing data: graphical methods, numerical summary measures, exploratory data analysis. Probability, probability distributions, expected value. Sampling distributions. Statistical inference: estimation and hypothesis testing for one-sample and two-sample problems. Regression analysis. Demonstrating with standard statistical software packages.

STAT-640 Advanced Linear Modeling-Regression and Time Series Analysis 3 cr.
Fall and Spring
Multiple regression, inference about regression parameters, remedial regression measure, quantitative and qualitative regression, model selection/validation, nonlinear regression, neural networks, logistic and Poisson regression, generalized linear models, time series, smoothing, stochastic time series, moving average and autoregressive models, auto regressive integrated moving average (ARIMA), estimating and forecasting with time series. Instructor's consent required.