An introduction to computer software consistent with modern professional practice of statistics. Use of the statistical package SAS and S-PLUS. Given...
Decision theory and Bayesian inference; principles of optimal statistical procedures; maximum likelihood principle; large sample theory for maximum...
Autocorrelation and autocovariance, stationarity; ARIMA models; model identification and forecasting; spectral analysis. Applications to biological,...
An overview of the statistical and lean manufacturing tools and techniques used in the measurement and improvement of quality in business, government...
Analysis of variance for fixed, random and mixed models; analysis of covariance; distribution of mean squares; fractional factorial experiments, Latin...
An introduction to advanced regression methods for binary, categorical, and count data. Major topics include maximum-likelihood method, binomial and...
Introduces the theory and application of survival analysis: survival distributions and their applications, parametric and nonparametric methods,...
An important topic in probability or statistics not covered in any other course. PREREQUISITE Permission of the Department.
Investigation of a statistical problem having a genuine practical or theoretical interest, supervised by a faculty member. In some cases a group of...