Courses Details

BIOSTAT652: Design of Experiments

RaghunathanTrivellore
Raghunathan, Trivellore
  • Graduate level
  • Residential
  • Fall term(s) for residential students;
  • 3 credit hour(s) for residential students;
  • Instructor(s): Raghunathan, Trivellore (Residential);
  • Not offered 2021-2022
  • 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.
  • Syllabus for BIOSTAT652