Equations (6.3) through (6. The technique is based on the fact that dissolving a polymer in a solvent increases the viscosity of the final polymer solution. Design and analysis of experiments where there is important uncertainty in polymer concentration are also studied. Viscosity in Equation (6.6) is a function of the temperature and conversion of the curing reaction. When they are used the conventional analysis is restored to full efficiency. It is also shown that dilution series experiments with more than three different concentrations including that of the pure solvent are inefficient by any method of analysis, and convenient experiments which may be considered practical optima are described. A rearrangement of the Huggins equation is introduced which allows precise estimation from any experiment. The result is that when dilution series experiments are analyzed, the estimates are ordinarily poorer the more dilutions are made. It is shown that when this method is used, the error structure is distorted by the presence of concentration in the quotient. The Huggins Equation is an empirical equation used to relate the reduced viscosity of a dilute polymer solution to the concentration of the polymer in solution. Intrinsic viscosities of polymers are most often estimated using the Huggins equation, which relates the quotient ηsp/c to intrinsic viscosity and concentration c. Statistical study of the application of the huggins equation to measure intrinsic viscosity Statistical study of the application of the huggins equation to measure intrinsic viscosity
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