A simple unconstrained semi-continuous model for calculating likelihood ratios for complex DNA mixtures

Forensic Science International: Genetics Supplement Series

Volumn 5, Issue , 2015, Pages e37-e38

  Russell, Daniel ^a   Christensen, William ^b   Lindsey, Todd ^b  

^a Oklahoma City Police Department (OCPD) Forensic DNA Laboratory   (United States)

^b Oklahoma State Bureau of Investigation   (United States)

Author keywords

DNA; Likelihood ratio; Mixtures; Statistics; Unconstrained likelihood ratio (UCLR)

Indexed keywords

DNA;

ARTICLE; DNA DETERMINATION; GENE FREQUENCY; GENE LOCUS; GENETIC ANALYZER; MAXIMUM LIKELIHOOD METHOD; NUCLEIC ACID AMPLIFICATION; PRIORITY JOURNAL; STATISTICAL MODEL; UNCONSTRAINED LIKELIHOOD RATIO MODEL;

EID: 84945434410     PISSN: 18751768     EISSN: 1875175X     Source Type: Journal    
DOI: 10.1016/j.fsigss.2015.09.015     Document Type: Article

References (4)

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4. [4] Haned, H., Pene, L., Lobry, J., Dufour, A., Pontier, D., Estimating the number of contributors to forensic dna mixtures: does maximum likelihood perform better than maximum allele count?. J. Forensic Sci. 56:1 (2011), 23–28.