Use of the maximum likelihood method for composition data analysis in the radical copolymerization terminal model

摘要

A method based on the maximum likelihood principle has been used for the estimation of reactivity ratios in the terminal model of copolymerization from experimental composition data. This method assumes explicitly that all measured variables are subject to errors. If correct estimates of experimental errors are used the using simulated data disturbed with random errors. best values of parameters are obtained. In addition, this; method can also be used for the copolymerization model validation and/or evaluation of the accuracy of the experimental data. The application of the method is illustrated using simulated data disturbed with random errors. [References: 11]