Interactive software system for parameter estimation and experimental design
Given any experimental data, i.e., observation times and measurements, the minimum distances of measured data from a fitting criterion are computed. Up to two independent model variables, e.g., time and concentration, and linear or nonlinear constraints can be handled. A statistical analysis provides confidence intervals for estimated parameters, correlation and covariance matrix, identification of significance levels for estimated parameters, and optimum experimental design. As a by-product, curve and surface fits are available.
Can estimate physical properties for pure components based on correlations.
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