The goals of the research being reported in this paper were to produce models for forensic casework use with the intention of understanding the causes of stutter and the variability in stutter product, in order to contribute to the understanding of the interpretation of mixed source samples as well as the process of determining if a sample is mixed source at all.
This paper investigates the variables that could affect the stutter ratio (SR). Bayesian modelling techniques are used to model the distribution of the SR using the parameters identified: the locus and the longest uninterrupted sequence (LUS). The final model gives an expected estimate for the SR as well as the distribution about this estimate. (Publisher Abstract Provided)
Downloads
Similar Publications
- The role of sleep and heart rate variability in metabolic syndrome: Evidence from the Midlife in the United States study
- Surface-enhanced Raman spectroscopy enables confirmatory detection of dyes on hair submerged in hypolimnion water for up to twelve weeks
- Sentinel event reviews: Applications in criminal justice settings