Abstract
The heat of mixing (H E) and vapor-liquid equilibrium (VLE) data were correlated by means of various parameter estimation methods. The most elaborate one - the “Orthogonal Regression” enables the introduction of the estimated experimental errors for all measured variables into the computational process. The use of such complicated procedure is justified only in the case when the real experimental errors are well known and the equations used for representation of data are so flexible that they do not introduce further errors. When the knowledge of errors is poor, which is the case for most literature data, sufficient results can be obtained on much simpler way by means of “least square” method.
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