Interpreting Forensic Trace Evidence using Multi-Elemental and Spectroscopic Data

Over the years, statistics has become a crucial part of forensic science. Forensic scientists are often invited to courts to present expert evidence. They have a duty to perform precise and accurate evidence analysis. Accessibility to the techniques like LIBS, LA-ICP-MS and Raman Microscopy that generate multivariate spectroscopic data, has necessitated the need for advanced statistical methods for evidence analysis. The first aim of this thesis is to ascertain reliability and repeatability of evidential data generated using LIBS. The second objective is to propose statistical methods to perform accurate evaluation of trace evidence (comparisons between evidence recovered from suspects’ clothing and from crime scenes; trace evidence such as glass, tapes, fibre and inks) using spectroscopic data.

Name thesis:degree_name

PhD

Level thesis:degree_level

Doctoral

Discipline thesis:degree_discipline

Statistics

Grantor dc:publisher

ResearchSpace@Auckland

Year dc:date.issued

2019

Author dc:creator

• Gupta, Anjali

Advisors dc:contributor.advisor

• Curran, JM
• Triggs, CM

Statement dc:rights

• Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.

Licence dc:rights.uri

• https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm

Handle dc:identifier.uri

https://hdl.handle.net/2292/47578

OAI identifier oai:identifier

oai:researchspace.auckland.ac.nz:2292/47578