Abstract
Computer simulations have been used to study the application of statistical model discrimination methods to the modeling of copolymerizations. Statistical model discrimination methods describe how experiments should be designed and analyzed to obtain the maximum possible information on the strengths of competing models. The potential benefits of applying model discrimination methods are described by contrasting them with pest work on the modeling of copolymerizations. Three model discrimination techniques (Buzzi-Fenaris and Forzetti, 15 effect entropy, 14 and Hsiang end Reilly 21 ) have been applied to the systems styrene-acrylonitrile, styrene-methyl methacrylate, and styrene-butyl acrylate
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call