The contents/materials for Stat 425 may vary from semester to semester, subject to change/revision at the instructor’s discretion. The contents below are from Fall 2017.
F = Textbook by J. Faraway; S = Textbook by S.J. Sheather
- Introduction
[Note_Intro] [Prerequisite]
Reading: chap 1 (F); chap 1 (S) - Simple linear regression
[Note_SLR] [R_SLR1] [R_SLR2]
Reading: chap 2 (S) - Multiple linear regression
[Note_MLR] [R_MLR1] [R_MLR2] [MLR_appendix] [Note_Projection]
Reading: chap 2,3 (F); chap 5 (S); chap1~5 (JM) - Analysis of Covariance
[Note_AnCova] [R_AnoCov]
Reading: chap 15 (F); chap 5.3 (S) - Diagnostic
[Note_Diag] [R_Diag1] [R_Diag2] [Diag_appendix]
Reading: chap 6 (F); chap 3,6 (S) - Generalized least squares
Testing for lack of fit
[Note_GLS] [R_GLS]
Reading: chap 8.1-8.3 (F); chap 4,9 (S);
Collinearity
[Note_Collinear] [R_Collinear]
Reading: chap 7.3 (F); chap 6.4 (S) - Polynomial regression
[Note_poly] [R_poly] [birthrates.txt]
Reading: chap 9 (F); chap 3.3, 6.2 (S)
Additional Reading: Chap 7 from ISLR
Nonparametric regression and spline models
[note_nonpa] [R_nonpa] [R_spline]
Reading: “STL: A Seasonal-Trend Decomposition Procedure Based on Loess” - One-way and two-way ANOVA
[Note_ANOVA1] [Note_ANOVA2] [Note_ANOVA3] [R_ANOVA] [R_ANOVA2]
Reading: chap 14-16 (F); chap 2.6 (S); chap 6~8 (JM)
Blocking designs and higher order ANOVA
[Note_blocking] [R_blocking]
Reading: Chap 17 (F); [Experimental Design] from NIST; [Blocking Lecture] From PSU - Variable selection
[Note_varsel][R_varsel] [R_varsel_add]
[Download dig14.Rdata]
Reading: chap 10, 11 (F); chap 7 (S).
Additional Reading: Chap 6 from ISLR - Tree models
[Note_tree] [R_tree] [RandomForests] - Logistic regression
[Note_logisticc] [R_logistic]
Reading: chap 8 (S)