
Welcome to Stat 740, Statistical Computing. This page contains
updates to the course syllabus, class notes with annotation and
homework assignments. I hope to have both HTML and postscript
versions of the class notes available. Send any questions to
grego@stat.sc.edu

- Notices
- The final exam is due 5 PM Monday May 5.
- Syllabus
- Homework
- Web resources
- Handouts and Exercises
Initial notes on "sourcing" a file
- Instructions on calling a Fortran program in Splus on a Unix machine
- Brian Habing's Instructions on calling a Fortran program in R on a PC. These are also available from his web page
- Additional instructions on calling a Fortran program in R on a PC
- Notes on kernel density estimate commands from class.
- Computer exercise to estimate the parameters in a zero-inflated Poisson random sample.
- Handout showing steps in computing the gradient, hessian and information matrix for a three-parameter gamma distribution.
- Handout showing the EM step increases the observed data log likelihood.
- Handout with score vectors and information matrices for EM example.
- Computer exercise to explore R bootstrap commands.
- Computer exercise for MCMC in R.
- R code and notes
- Midterm Exams
- Project Guide
- Final Exams

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