Seguir
Naomi Kaplan Damary
Naomi Kaplan Damary
Institute of Criminology, the Hebrew University of Jerusalem
Dirección de correo verificada de mail.huji.ac.il
Título
Citado por
Citado por
Año
Dependence among randomly acquired characteristics on shoeprints and their features
NK Damary, M Mandel, S Wiesner, Y Yekutieli, Y Shor, C Spiegelman
Forensic science international 283, 173-179, 2018
222018
Calculation of likelihood ratios for gunshot residue evidence—statistical aspects
N Kaplan Damary, M Mandel, N Levin, E Izraeli
Law, Probability and Risk 15 (2), 107-125, 2016
202016
Dataset of digitized RACs and their rarity score analysis for strengthening shoeprint evidence
S Wiesner, Y Shor, T Tsach, N Kaplan-Damary, Y Yekutieli
Journal of Forensic Sciences 65 (3), 762-774, 2020
122020
Reliability of ordinal outcomes in forensic black-box studies
HM Arora, N Kaplan-Damary, HS Stern
Forensic Science International 354, 111909, 2024
12024
Combining reproducibility and repeatability studies with applications in forensic science
H Arora, N Kaplan-Damary, HS Stern
Law, probability and risk 22 (1), mgad007, 2023
12023
Shoeprints: The Path from Practice to Science
S Wiesner, N Kaplan-Damary, B Eltzner, S Huckemann
Handbook of Forensic Statistics, 391-410, 2020
12020
Spatial modeling of randomly acquired characteristics on outsoles with application to forensic shoeprint analysis
NK Damary, M Mandel, Y Yekutieli, S Wiesner, Y Shor
arXiv preprint arXiv:1912.08272, 2019
12019
Spatial modeling of randomly acquired characteristics on outsoles with application to forensic shoeprint analysis
N Kaplan Damary, M Mandel, Y Yekutieli, S Wiesner, Y Shor
arXiv e-prints, arXiv: 1912.08272, 2019
12019
Forensic Science–Believe It or Not? Public Attitudes toward Forensic Evidence in Israel
N Kaplan-Damary, T Jonathan-Zamir, G Perry, E Itskovich
International Annals of Criminology, 1-29, 2024
2024
Location distribution of randomly acquired characteristics on a shoe sole
N Kaplan‐Damary, M Mandel, Y Yekutieli, Y Shor, S Wiesner
Journal of Forensic Sciences 67 (5), 1801-1809, 2022
2022
Reliability for Binary and Ordinal Data in Forensics
H Arora, N Kaplan-Damary, H Stern
2022
Studying Reproducibility and Repeatability for Pattern Evidence Comparisons
H Arora, N Kaplan-Damary, H Stern
Copyright 2022, The Authors, 2022
2022
Reliability for Ordinal Data in Forensics
H Arora, N Kaplan-Damary, H Stern
Copyright 2021, The Authors., 2021
2021
Using Mixture Models to Examine Group Differences-Studying Juror Perceptions of the Strength of Forensic Science Evidence
N Kaplan-Damary, W Thompson, R Hofstein Grady, H Stern
Copyright 2021, The Authors., 2021
2021
Evaluating the Reliability of Randomly Acquired Characteristics (RACs) Identification in Footwear Impression Evidence
C Katz, N Kaplan-Damary, H Stern
Copyright 2021, The Authors, 2021
2021
Using mixture models to examine group difference among jurors: an illustration involving the perceived strength of forensic science evidence
N Kaplan-Damary, W C. Thompson, R Hofstein Grady, HS Stern
Law, Probability and Risk 19 (3-4), 235-253, 2020
2020
Estimating repeatability and reproducibility with limited replications
H Arora, N Kaplan-Damary, H Stern
2020
Estimating the probability of accidental mark locations on a shoe sole
NK Damary, M Mandel, Y Yekutieli, S Wiesner, Y Shor
arXiv preprint arXiv:1912.08272, 2019
2019
Statistical Aspects of Likelihood Ratio (LR) Calculation in Gunshot Residue (GSR) Analysis
N Kaplan-Damary, M Mandel, N Levin, E Izraeli
Microscopy and Microanalysis 22 (S3), 2044-2045, 2016
2016
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–19