Nonlinear Regression in Parameter Estimation From Polarographic Signals
نویسندگان
چکیده
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.
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عنوان ژورنال:
- Computers & chemistry
دوره 24 3-4 شماره
صفحات -
تاریخ انتشار 2000