Use of principal component scores in multiple linear regression models for prediction of Chlorophyll-a in reservoirs

By Handan Çamdevýren, Nilsun Demýr, A. Kanık, Sýddýk Keskýn. 2005

240 citations recorded by the source corpus.

Subfields: Environmental Engineering, Industrial and Manufacturing Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/6b49aa9519649f663c7386a0414367c1517e7183

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In Water Science and Technology

1. M. Alvim-Ferraz

Citations in the corpus

• Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations (2007, methodology): “The PC used for the prediction of O3 concentrations were obtained through multiplication of the standardized data matrix by the previously calculated weights (W ) (Çamdevýren et al., 2005; Slini et al., in press).”