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The exhaustive list of topics in Advanced Design of Experiments for Engineers and Managers in which we provide Help with Homework Assignment and Help with Project is as follows:

  • Experimental design principles, simple comparative experiments, R language and its applications in DOE problems.
  •  Single factor experiments, randomized blocks, Latin square designs and extensions, introduction to R language.
  • Factorial designs, two levels, 2k factorial designs, confounding and blocking in factorial designs, applications to manufacturing problems.
  •  Fractional factorial designs, two-level, three-level and mixed-level factorials and fractional factorials, applications to quality control problems.
  • Regression models including multiple regression models and its application to transportation scheduling problems.
  • Response surface methodology, parameter optimization, robust parameter design and its application to control of processes with high variability.
  •  Random and mixed effects models, nested and split plot and strip plot designs and its application to semiconductor manufacturing problem.
  • Repeated measures design, analysis of covariance and its applications in comparing alternatives.
  • Design of computer experiments and the applications in industrial engineering problems.