Syllabus_7510 - Syllabus for Stat 4510 7510 APPLIED...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: August 23, 2011 Syllabus for Stat 4510 / 7510 APPLIED STATISTICAL MODELS I Fall 2011 Instructor : Sounak Chakraborty Class time : 8.00 am - 9.15 am Tu Th Location : MIDDLEBUSH HALL 310 Office : 209F Middlebush Building Hours Available Outside of Class : Thursday 12.00 pm - 1.00 pm. Outside office hours by appointment only. E-mail : [email protected] SAS User Support : Ray Bacon Office : Middlebush Room 8 Help Session : 5.00 pm - 7.00 pm Mon - Fri (This help session is only for SAS help) E-mail : [email protected] TA : Help Session from TA : TA Office : TA E-mail : Textbook : Applied Regression Analysis and Other Multivariate Methods, Fourth Edition, by Klein- baum, Kupper, Nizam, and Muller. Topics to be Covered : • Descriptive statistics: one sample inference for mean and variance, Type I and II errors, sample size and power; two-sample comparison of means and variances. • Simple linear regression: Basic regression model and assumptions, least squares estimation; normal error and inference on regression coefficient, intercept, mean response, prediction; ANOVA table, residuals and regression diagnostics, measurement errors. • Multiple Regression: ANOVA table, inference on regression coefficient, mean and pre- diction, partial determination, Type I and II sums square, polynomial regression, categorical variables, interaction term, diagnostic (outliers of X, Y, influential observation, multicolinear- ity), remedial measures (weighted least squares, variance stabilizing transformations), model selection and validation. • Analysis of Designed Experiments / One Way ANOVA : Completely randomized designs, one-factor fixed effects model, alternative formulations and restrictions on parameters, contrasts, multiple comparisons; estimation and inference, F- and t-tests. • Multi-Factor ANOVA: Two-factor fixed effects models (balanced and unbalanced designs, alternative models formulations and restrictions, interaction, orthogonal contrasts, non-orthogonal decompositions, Type III sums of squares, F-tests. • Introduction to Random Effects: One-factor random effects models, estimation, F-tests; two-factor random/mixed effects models (balanced designs, variance components, estimation and inference)....
View Full Document

This note was uploaded on 02/17/2012 for the course MPP 7510 taught by Professor Sounakchakraborty during the Spring '12 term at Missouri (Mizzou).

Page1 / 4

Syllabus_7510 - Syllabus for Stat 4510 7510 APPLIED...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online