Nonlinear models are usually encountered in
various areas including experimental studies such as physics, chemistry,
biology etc. Ordinary least squares is one of the most widely used methods for
parameter estimation in different types of nonlinear models. However, there are
some regression assumptions need to be satisfied for obtaining efficient
parameter estimates. In this paper, the parameter estimation process is
evaluated carefully for some bleaching reactions by using chicken egg albumin
(OVA) and some precautions are taken in the presence of violations of the
assumptions (heteroscedasticity, autocorrelation, the presence of outliers). In
this way, robust logged nonlinear least squares approaches are examined and
compared under different conditions of reactions.
Robust nonlinear least squares heteroscedasticity autocorrelation outlier chicken egg albumin
Bölüm | Statistics |
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Yazarlar | |
Yayımlanma Tarihi | 11 Aralık 2017 |
Yayımlandığı Sayı | Yıl 2017 Cilt: 30 Sayı: 4 |