Forensic statistics

Forensic science
Physiological sciences
Forensic anthropology Forensic archaeology Forensic odontology Forensic entomology Forensic pathology Forensic botany Forensic biology DNA profiling Bloodstain pattern analysis Forensic chemistry Forensic osteology Forensic dentistry
Social sciences
Forensic psychology Forensic psychiatry
Forensic criminalistics
Ballistics Ballistic fingerprinting Body identification Fingerprint analysis Forensic accounting Forensic arts Forensic footwear evidence Forensic toxicology Gloveprint analysis Palmprint analysis Questioned document examination Vein matching
Digital forensics
Computer forensics Forensic data analysis Database forensics Mobile device forensics Network forensics Forensic video Forensic audio
Related disciplines
Fire investigation Fire accelerant detection Forensic engineering Forensic linguistics Forensic materials engineering Forensic polymer engineering Forensic statistics Forensic taphonomy Vehicular accident reconstruction
People
William M. Bass George W. Gill Richard Jantz Edmond Locard Douglas W. Owsley Werner Spitz Auguste Ambroise Tardieu Juan Vucetich
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Forensic statistics is the application of probability models and statistical techniques to scientific evidence, such as DNA evidence,^[1] and the law. In contrast to "everyday" statistics, to not engender bias or unduly draw conclusions, forensic statisticians report likelihoods as likelihood ratios (LR). This ratio of probabilities is then used by juries or judges to draw inferences or conclusions and decide legal matters.^[1]

Although the precise origin of this term remains unclear, it is apparent that the term was used in the 1980s and 1990s.^[2] Among the first forensic statistics conferences were two held in 1991 and 1993.^[3]

Bibliography

• Lucy, D. (2005.) Introduction to Statistics for Forensic Scientists, John Wiley and Sons.

References