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Experimental Designs I & II: Course Outline Experimental Designs II (STAT-411)

This course is designed to enrich the student's knowledge and understanding of the statistical method as it pertains to the design and analysis of experiments in the different fields of science.

Course Outline

  • Factorial Experiments.
  • 2n, 3n and mixed levels factorial experiments: model, estimation of parameters with applications.
  • Linear, quadratic and higher order components of main effects and interactions.
  • Confounding and its types.
  • Fractional replication.
  • Introduction to Quasi-Latin squares.
  • Split-plot and split block designs.
  • Balanced Incomplete Block Design (BIB).
  • Balanced Lattices.
  • Balanced Incomplete Designs.
  • Lattice squares.
  • Euden Square; models and Analysis.
  • Partially balanced incomplete block designs: models and analyses recovery of inter block information.
  • 1st and 2nd order response surface designs, their models and applications.

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