Article ID Journal Published Year Pages File Type
9743535 Analytica Chimica Acta 2005 8 Pages PDF
Abstract
A subset of 122 samples, all consisting of plant materials, has been used to develop regression models for a prediction of HHV from the elemental composition. Models with best predictive ability have been obtained using the contents of carbon, C; hydrogen, H; and nitrogen, N, and applying the methods OLS and PLS with the variables C, C2, H, C × H and N. The standard errors of prediction of the best new models are considerably smaller than those obtained with models found in literature.
Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
Authors
, , , ,