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Wen Zhou

Department of Statistics
Colorado State University

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STAT540 Data Analysis and Regression - Fall 2015
  • Syllabus
  • Office Hour: 1:00-2:00pm TR
  • Lecture notes
    • Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5, Lecture 6, Lecture 7, Lecture 8, Lecture 9, Lecture 9a, Lecture 10, Lecture 11, Lecture 12 (Gram-Schmidt), Lecture 13, Lecture 14, Lecture 15
  • HWs
    • HW1 (ch01ta01.txt), HW2 , HW3 (anscombe.dat, mpg.dat,snow1.dat), HW4, HW5, HW6, HW7 (bear.txt, mill.txt), HW8 (softdrink.txt), HW9(avp.txt, website.txt), HW10(hw.dat, temperature.txt,nfl-05.csv), HW11(modelsel1.txt), HW12
  • Exam materials
    • Exam 1 Score Distribution , Exam 2 Score Distribution
  • Computations, Data and other useful link
    • Beginning of an Introduction to R by Prof. Nettleton (ISU)
    • Sample of R by Prof. Vardeman (ISU)
    • R Reference Card
    • R Help File from STAT540
    • STAT540 R Introduction Code, eire.dat, lake.dat
    • Example of advertising, Example of advertising (continued)
    • Example on LOF
    • Example of bacteria
    • Example of advertising on inference, R function of conf.band() written by Prof. Hoeting
    • Example of advertising for matrix notation
    • Multi-regression, example of grocery, grocery data
    • Multi-regression, example of patience satisfication, patience data
    • Example of drug (ANOCOA), drug data
    • Example of drug (continued)
    • Example of model selection, Adaptive Lasso, Job data,
    • Example of 2012 Election, Florida data
    • The Law School Bootstrap Example
    • Computing Noncentral
    • Aitken Fit
    • Disease data
    • Trout data
    • SeedlingDryWeight.txt

Last modified in Dec, 2015