Statistics 312/612 (Fall 2007)

Linear models

The geometry of least squares; distribution theory for normal errors; regression, analysis of variance, and designed experiments; numerical algorithms (with particular reference to R); alternatives to least squares. Generalized linear models. Linear algebra and some acquaintance with statistics assumed.
Instructor:David Pollard
Office hours:Tuesday 4:00 --
Time:Tuesday, Thursday 9:00–10:15.
Place:24 Hillhouse (Dana House), room 107
TA:Michael Kane


  • approximately nine homework sheets
  • final grade based on homework
  • Texts and references

    No single text.
    Material drawn from many sources.
    See also the Handouts.
    Online help that comes with the R statistical language.

    Tentative list of topics

    DP: 30 Aug 2007