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Schedule and Textbooks Information


Fall 2020 Schedule and Textbook Information for STAT 525

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STAT 525 - Texbook(s) for Fall 2020

CRN Title Author ISBN Version Req/Opt
10109Applied Linear StatisticalModelsKutner, Nachtsheim, Neter and Li97812590647465thY
19646Applied Linear StatisticalModelsKutner, Nachtsheim, Neter and Li97812590647465thY


STAT 525 - Schedule information for Fall 2020

CRN Section Instructor Day Time Room
19646003Qifan SongTR4:30-5:45pmWALC B074
10109002Qifan SongTR3:00-4:15pmWALC B074

STAT 525 - Course Outline

  1. Introduction
    1. Review of statistical inference
    2. Review of simple linear regression
    3. SAS


  2. 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


  3. 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


  4. 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

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