Nonlinear regression in parameter estimation from polarographic signals
In this work we describe a detailed treatment of polarographic data curves, including error analysis, by means of nonlinear least-squares in its standard form (or resorting to the errors in variables model). Error estimates for the related parameters are additionally verified by Monte-Carlo simulation and resampling techniques.
Pais
AA
Departamento de Quimica, Universidade de Coimbra, Portugal.
Pereira
JL
Redinha
JS