Schedule and Textbooks Information

Fall 2020 Schedule and Textbook Information for STAT 525

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STAT 525 - Textbook(s) for Fall 2020

CRN	Title	Author	ISBN	Version	Req/Opt
10109	Applied Linear StatisticalModels	Kutner, Nachtsheim, Neter and Li	9781259064746	5th	Y
19646	Applied Linear StatisticalModels	Kutner, Nachtsheim, Neter and Li	9781259064746	5th	Y

STAT 525 - Schedule information for Fall 2020

CRN	Section	Instructor	Day	Time	Room
19646	003	Qifan Song	TR	4:30-5:45pm	WALC B074
10109	002	Qifan Song	TR	3:00-4:15pm	WALC B074

STAT 525 - Course Outline

Introduction
1. Review of statistical inference
2. Review of simple linear regression
3. SAS
Multiple Regression Models
1. Models, including polynomial regression and ANOVA using indicator variables
2. Full vs. Reduced model tests, other inference
3. Diagnostics: residual plots, including normal probability plots; detecting influential observations
4. Model building: methods and criteria (best subsets, stepwise, Cp, etc.); transformations (including the Box-Cox family); comments and warnings
Anova For Completely Randomized Designs
1. Basics of experimental design
2. One-way ANOVA: classical vs. regression models, basic inference including contrasts, the multiple comparisons problem, random effects
3. Two-way ANOVA: models and the meaning of interaction, inference, consequences of unbalanced data, analysis of covariance
4. Diagnostics: consequences of failure of assumption, diagnostic methods, transformations
Categorical Data Analysis
1. Contingency tables
2. Hierarchical loglinear models: sampling models, structural models, maximum likelihood estimation, full vs. reduced model tests, model building, diagnostics
3. Logistic regression models