Teaching computing in statistical theory courses

Research output: Contribution to journalReview articlepeer-review

Abstract

Graduate-level instruction in statistical computing need not be relegated to courses devoted to statistical computing; even theoretical statistics courses can include considerable computational content through well-designed exercises. Such exercises should be chosen so that they force students to learn essential computing skills without impeding instruction of theory. A series of examples used in a course on large-sample theory illustrates this thesis.

Original languageEnglish (US)
Pages (from-to)327-333
Number of pages7
JournalAmerican Statistician
Volume59
Issue number4
DOIs
StatePublished - Nov 2005

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

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