Forensic Analysis and Statistics

Name: Forensic Analysis and Statistics
Brand: Vita e Pensiero
Availability: OnlineOnly

digital

Article

Magazine

STATISTICA & APPLICAZIONI

Section

Open Access

Title

Forensic Analysis and Statistics

Authors

Julian A. Roach, Smail Mahdi

Publisher

Vita e Pensiero

Format

Article |

Pdf

Pages

Online from

06-2016

Issn

1824-6672 (print) | 2283-6659 (digital)

Write a comment for this product

Download

Ebook format Pdf readable on these devices:

Computer
with Software:
- Adobe PDF Reader
Android
iPhone/Ipad
with App:
- Adobe PDF Reader
E-Book Reader
Ibs Tolino
Kobo

Description Readers' comments

In this paper we present the development of forensic analysis and how Statistics has addressed the difficult areas of controversy in identifying individuals. The basic model of VNTR analysis of DNA evidence has succeeded conventional means of identification such as the use of blood groups and serum proteins. The su-periority of DNA methods has broadened its use in the forensic community however it is also heavily scrutinized statistically due to the probabilistic interpretation of compared samples as well as the difficulty posed by the large number of parameters in the model. As we discuss the methodologies and statistical models used to analyze forensic information from DNA we introduce a stochastic method that can be used to provide solutions to the common problems in forensic analysis.

Authors biography

Julian A. Roach, Department of Computer Science, Mathematics and Physics, Faculty of Pure and Applied Sciences, Cave Hill Campus, University of the West Indies.
(e-mail: julian.roach@cavehill.uwi.edu).
Smail Mahdi, Department of Computer Science, Mathematics and Physics, Faculty of Pure and Applied Sciences, Cave Hill Campus, University of the West Indies.
(e-mail: smahdi@uwichill.edu.bb).

Enter a comment for Forensic Analysis and Statistics