Content Advisory
Please be aware that this content contains descriptions of violence that may be distressing to some viewers.NCJ Number
307102
Journal
Australian Journal of Forensic Sciences Volume: 46 Issue: 2 Dated: 2014 Pages: 194-203
Date Published
2014
Length
10 pages
Annotation
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.
Abstract
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)
Grant Number(s)
2011-DN-BX-K541
Agencies
NIJ-Sponsored
Publication Type
Research (Applied/Empirical)
Date Published: January 1, 2014