@article{ref1,
title="Progress toward the determination of correct classification rates in fire debris analysis ii: Utilizing soft independent modeling of class analogy (SIMCA)",
journal="Journal of forensic sciences",
year="2014",
author="Waddell, Erin E. and Williams, Mary R. and Sigman, Michael E.",
volume="59",
number="4",
pages="927-935",
abstract="A multistep classification scheme was used to detect and classify ignitable liquid residues in fire debris into the classes defined by the ASTM E1618-10 standard method. The total ion spectra (TIS) of the samples were classified by soft independent modeling of class analogy (SIMCA) with cross-validation and tested on fire debris. For detection of ignitable liquid residue, the true-positive rate was 94.2% for cross-validation and 79.1% for fire debris, with false-positive rates of 5.1% and 8.9%, respectively. Evaluation of SIMCA classifications for fire debris relative to a reviewer's examination led to an increase in the true-positive rate to 95.1%; however, the false-positive rate also increased to 15.0%. The correct classification rates for assigning ignitable liquid residues into ASTM E1618-10 classes were generally in the range of 80-90%, with the exception of gasoline samples, which were incorrectly classified as aromatic solvents following evaporative weathering in fire debris.<p /> <p>Language: en</p>",
language="en",
issn="0022-1198",
doi="10.1111/1556-4029.12417",
url="http://dx.doi.org/10.1111/1556-4029.12417"
}