| Abstract
| - This paper presents an attractive feature of the distribution function, which uses a relatively simple expressionfor approximating probability density. The Pearson-type I distribution function is used to represent the molarmass distribution (MMD) function for polymers for which the number average (M̄n), mass average (M̄w),z-average (M̄z), and (z+1)-average (M̄z+1) values are available. In continuation, the Pearson-type I distributionis applied as the model MMD function in which model parameters (M̄n, M̄w, M̄z, and M̄z+1) are fitted fromexperimentally determined MMD. As the result, different molar mass averages are estimated with satisfactoryagreement with experimental data.
|
