Math 6040/7260

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Course Schedule

Math 6040/7260 tentative schedule and handouts (expect frequent updates)

lecture notes

pre-lecture notes(last update: May 03)

Topics:

Monday Wednesday Friday HW
  01/20 intro 01/22 linear algebra review  
01/25 linear algebra review, simple linear regression [Rmd] 01/27 simple linear regression 01/29 R intro notes HW1
02/01 statistical model of SLR 02/03 properties of LS estimators 02/05 inference of SLR Lab 1 [Rmd][html]
02/08 multiple linear regression [Rmd][html] 02/10 more on MLR [Duncan’s data][Lecture10_to_fill.Rmd][Lecture10_filled.Rmd] 02/12 R practice  
02/15 probability theory review 02/17 HW1 and probability review 02/19 Lab session [Lecture14_to_fill.Rmd] HW2
02/22 Dummy variable regression 02/24 Unusual and influential data 02/26 Added-variable plot  
03/01 Diagnosing non-normality, non-constant error variance 03/03 Disgnosing nonlinearity and data transformation 03/05 Presentations  
03/08 R practice [Lecture20.Rmd][Lecture20.html] 03/10 no class (mid-term exam begins) 03/12 mid term exam  
03/15 Collinearity and principal component analysis 03/17 Midterm exam review 03/19 Ridge and Lasso regression  
03/22 no class 03/24 Model selection 03/26 Lab session [Lecture24_to_fill.Rmd]  
03/29 Analysis of Variance 03/31 Two-way ANOVA [honey_bee.csv] 04/02 Lab session [Lecture27_to_fill.Rmd] HW3
04/05 Analysis of Covariance [vitamin_supplement.csv] 04/07 Multiple comparisons 04/09 Lab session [Lecture30_to_fill.Rmd]  
04/12 sample size computations for one-way ANOVA, Lack-of-fit test, One-way random effects model 04/14 Interval estimates for one-way random effects model 04/16 Lab session [Lecture33_to_fill.Rmd]  
04/19 Two-factor mixed-effects models 04/21 Theoretical background 04/23 Lab session [Lecture36_to_fill.Rmd]  
04/26 Theoretical background cont. 04/28 Theoretical background 04/30 no class (final exam begins)  
05/03 Bootstrap and logistic regression