Evaluating score- and feature-based likelihood ratio models for multivariate continuous data: applied to forensic MDMA comparison (English)
- New search for: Bolck, Annabel
- New search for: Ni, Haifang
- New search for: Lopatka, Martin
- New search for: Bolck, Annabel
- New search for: Ni, Haifang
- New search for: Lopatka, Martin
In:
Law, probability & risk
;
14
, 3
;
243-
;
2015
- Article (Journal) / Electronic Resource
-
Title:Evaluating score- and feature-based likelihood ratio models for multivariate continuous data: applied to forensic MDMA comparison
-
Contributors:
-
Published in:Law, probability & risk ; 14, 3 ; 243-
-
Publisher:
- New search for: Oxford University Press
-
Publication date:2015-09-01
-
ISSN:
-
DOI:
-
Type of media:Article (Journal)
-
Type of material:Electronic Resource
-
Language:English
-
Source:
Table of contents – Volume 14, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 175
-
Performance of likelihood ratios considering bounds on the probability of observing misleading evidenceLucena-Molina, Jose Juan / Ramos-Castro, Daniel / Gonzalez-Rodriguez, Joaquin et al. | 2015
- 193
-
Accuracy, optimality and the preponderance standardCheng, Edward K. / Pardo, Michael S. et al. | 2015
- 213
-
Post-mortem root banding of hairs: a sceptical reviewKadane, Joseph B. et al. | 2015
- 229
-
The felony fallacyDahlman, Christian et al. | 2015
- 243
-
Evaluating score- and feature-based likelihood ratio models for multivariate continuous data: applied to forensic MDMA comparisonBolck, Annabel / Ni, Haifang / Lopatka, Martin et al. | 2015