MANUAL DE PRUEBA PERICIAL_Suprema Corte

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Manual de prueba pericial
Morrison, G. S., Neumann, C., Geoghegan, P. H. et al., “Reply to Response to
Vacuous standards –subversion of the OSAC standards-development
process”, Forensic Science International: Synergy, vol. 3, 100149, 2021.
Science in court, Nature, vol. 464, núm. 325, 2010. Disponible en <https://doi.
org/10.1038/464325a>.
Neumann, C., Champod, C., Puch‐Solis, R. et al., “Compu tation of likelihood
ratios in fingerprint identification for configurations of any number of
minutiae”, Journal of Forensic Sciences, vol. 52, núm. 1, 2007.
Nordgaard, A., Ansell, R., Drotz, W. y Jaeger, L., “Scale of conclusions for the
value of evidence”, Law, Probability and Risk, vol. 11, núm. 1, 2012.
National Research Council, Strengthening forensic science in the United States: a
path forward, National Academies Press, 2009.
Lander, E., “Forensic Science in Criminal Courts: Ensuring Scientific Validation
of Feature-Comparison Methods”, President’s Council on Advisors on Science
and Technology (PCAST), 2016.
Ramos, D., González‐Rodríguez, J., Zadora, G., y Aitken, C., “Informationtheoretical
assessment of the performance of likelihood ratio compu tation
methods”, Journal of Forensic Sciences, vol. 58, núm. 6, 2013.
Ramos, D. y González-Rodríguez, J., “Reliable support: measuring calibration of
likelihood ratios”, Forensic Science International, vol. 230, núms. 1-3, 2013.
Robertson, B., Vignaux, G. A. y Berger, C., Interpreting evidence: evaluating forensic
science in the courtroom, John Wiley & Sons, 2016.
Saks, M. J. y Koehler, J. J., “The coming paradigm shift in forensic identification
science”, Science, vol. 309, núm. 5736, 2005.