@inbook{59c32ea4fcac40e3bae16ea13aa7ffe1,
title = "Predicting a Wide Variety of Constant Pure Compound Properties for Long Chain Substances Using a {"} Reference Series{"} Method",
abstract = "Prediction of pure component properties of long chain substances is considered. The emphasis is on homologous series and properties for which insufficient data are available. A two-stage procedure is recommended whereby a linear (or nonlinear) QSPR is fitted to a {"} reference{"} series, for which adequate amount of precise data is available. This QSPR should represent correctly both the available data and the asymptotic behavior of the property. In the second stage a Quantitative Property- Property Relationship (QPPR) is derived to represent the predicted property values of a {"} target{"} series in terms of the property values of the reference series.",
keywords = "Homologous series, Property prediction, QPPR, QSPR",
author = "Inga Paster and Mordechai Shacham and Neima Brauner",
year = "2012",
month = jan,
day = "1",
doi = "10.1016/B978-0-444-59519-5.50121-0",
language = "English",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "602--606",
booktitle = "Computer Aided Chemical Engineering",
}