Experimental design and optimization

摘要: Abstract The aim with this tutorial is to give a simple and easily understandable introduction experimental design optimization. screening methods described in the paper are factorial fractional designs. Identification of significant variables performed by normal distribution plots as well confidence intervals. Refinements models also discussed. For optimization, simplex method, central composite designs Doehlert gives an mixture contains 14 hands-on examples if anyone needs answers on these it just contact authors.