Adapting the Chumbley Score to Match Striae on Land Engraved Areas (LEAs) of Bullets
Related Experiment Video
Updated: Feb 2, 2026

Preparation of Gene Gun Bullets and Biolistic Transfection of Neurons in Slice Culture
Published on: February 13, 2008
Ganesh Krishnan1, Heike Hofmann1
1Department of Statistics, Iowa State University and CSAFE (Center for Statistics and Applications in Forensic Evidence), Iowa State University, 195 Durham, 613 Morril Road, Ames, IA, 50010, United States.
Abstract:
The same-source problem remains a major challenge in forensic toolmark and firearm examination. Here, we investigate the applicability of the Chumbley method (J Forensic Sci, 2018, 63, 849; J Forensic Sci, 2010, 55, 953) (10,12), developed for screwdriver markings, for same-source identification of striations on bullet LEAs. The Hamby datasets 44 and 252 measured by NIST and CSAFE (high-resolution scans) are used here. We provide methods to identify parameters that minimize error rates for matching of LEAs, and a remedial algorithm to alleviate the problem of failed tests, while increasing the power of the test and reducing error rates. For 85,491 land-to-land comparisons (84,235 known nonmatches and 1256 known matches), the adapted test does not provide a result in 176 situations (originally more than 500). The Type I and Type II error rates are 7.2% (6105 out of 84,235) and 21.4% (271 out of 1256), respectively. This puts the proposed method on similar footing as other single-feature matching approaches in the literature.
Related Concept Videos
The Colonization of Land
Sign Test for Matched Pairs
To conduct the sign test, we first calculate the differences in...
Introduction to z Scores
z scores...
Introduction to z Scores
z scores...
z Scores and Area Under the Curve
z Scores and Unusual Values
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...

