Applications of regression models to business problems; model building, fitting and assessment. Applications of sample surveys to business; design and...
Analysis of time series data in business; adjustment and over-adjustment; forecasting using simple models. Process thinking and improvement; design...
Application of regression and time series models in finance; multiple regression; algebraic and geometric representation of least squares; inference...
Review of experimental designs in a regression setting; analysis of variance; replication, balance, blocking, randomization, and interaction; one-way...
Review of the normal linear model and maximum likelihood estimation; regression models for binomial, Poisson and multinomial data; generalized linear...
Point processes. Renewal theory. Stationary processes. Selected topics. [Offered: F] Prereq: STAT 333; Not open to General Mathematics students
Statistical methods for improving processes based on observational data. Assessment of measurement systems. Strategies for variation reduction....
The objective of this course is to develop understanding and working knowledge of spatial models and analysis of spatial data. The course provides an...
This course will provide an introduction to the principles and methods for the analysis of longitudinal data. Conditional and random effect modeling...
Introduction to and application of computational methods in statistical inference. Monte Carlo evaluation of statistical procedures, exploration of...
Given known group membership, methods which learn from data how to classify objects into the groups are treated. Review of likelihood and posterior...
Visualization of high dimensional data including interactive methods directed at exploration and assessment of structure and dependencies in data....
Model building. Multiple regression and forecasting. Exponential smoothing. Box-Jenkins models. Smoothing of seasonal data. [Offered: F,W,S] Prereq:...
Methods for finding surfaces in high dimensions from incomplete or noisy functional information. Both data adaptive and methods based on fixed...
Discussion of inference problems under the headings of hypothesis testing and point and interval estimation. Frequentist and Bayesian approaches to...
Sources of survey error. Probability sampling designs, estimation and efficiency comparisons. Distribution theory and confidence intervals....
Prereq: STAT 333; Not open to General Mathematics students
Prereq: STAT 330, 331; Not open to General Mathematics students
Prereq: Not open to General Mathematics students