Courses Details

BIOSTAT652 Design of Experiments

  • Graduate level
  • Fall term(s)
  • 3 Credit Hour(s)
  • Instructor(s): Raghunathan, Trivellore
  • Not offered 2017-2018
  • Prerequisites: Biostat 651
  • Description: Planning of experiments, use of contrasts in analysis of complete and incomplete block designs. A unified approach to analysis of designs through use of eigen-values and eigenvectors of the association matrix. A-D-E optimality criteria factorial exponents; efficiency of a design, confounding, fractional replication, response-surface designs, rotability criterion, mixture designs, analysis of two-way designs, analysis when blocks are random, applications in biological and biomedical problems.