Negative conclusion cases: a proposal for likelihood ratio evaluation | Zendy

Bruno Cardinetti | Zendy; Camillo Cammarota | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Negative conclusion cases: a proposal for likelihood ratio evaluation

Author(s) -

Bruno Cardinetti,

Camillo Cammarota

Publication year - 2005

Publication title -

law probability and risk

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.524

H-Index - 14

eISSN - 1470-840X

pISSN - 1470-8396

DOI - 10.1093/lpr/mgi006

Subject(s) - statistics , bivariate analysis , suspect , event (particle physics) , mathematics , gaussian , bayesian probability , likelihood ratio test , disjoint sets , psychology , combinatorics , physics , quantum mechanics , criminology

The use of Bayesian approach in forensic science requires the evaluation of the likelihood ratio related to the crime scene evidence event E and the suspect characteristic event C. This evaluation fails when the two events are disjoint, i.e. the evidence E is not compatible with the characteristic C of the suspect, and then the case-work has a negative conclusion. This situation is very common, es...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research