title: Nonlinear regression in parameter estimation from polarographic signals
abstract: 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.
authors.affiliation: Departamento de Quimica, Universidade de Coimbra, Portugal.
authors.initials: AA
authors.lastname: Pais
authors.initials: JL
authors.lastname: Pereira
authors.initials: JS
authors.lastname: Redinha