Advanced Linear Modeling-Regression and Time Series Analysis

Catalog description

Multiple regression, inference about regression parameters, remedical regression measures, 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. Prerequisite: take STAT-332