পদ্ধতির তুলনা করুন

	ফোরেনসিক লাইকলিহুড রেশিও (LR)	বেয়েস ফ্যাক্টর পরীক্ষা
ক্ষেত্র	ফরেনসিক বিজ্ঞান	বেইসীয়
পরিবার	Regression model	Bayesian methods
উদ্ভবের বছর	2004	1961
প্রবর্তক	Colin Aitken & Franco Taroni	Harold Jeffreys
ধরন	Bayesian evidence evaluation model	Bayesian hypothesis comparison
মৌলিক উৎস	Aitken, C. G. G., & Taroni, F. (2004). Statistics and the Evaluation of Evidence for Forensic Scientists (2nd ed.). Wiley. ISBN: 978-0-470-84367-3	Jeffreys, H. (1961). Theory of Probability (3rd ed.). Clarendon Press / Oxford University Press. ISBN: 978-0198503682
অপর নাম	Bayes Factor in Forensics, Forensic Evidence Weight, LR-Based Forensic Evaluation, Adli Olabilirlik Oranı	bayes factor, BF10, Bayesian hypothesis test, Bayes Faktörü — Hipotez Testi
সম্পর্কিত	3	3
সারসংক্ষেপ	The Forensic Likelihood Ratio (LR) is a Bayesian framework for quantifying the weight of forensic evidence relative to two competing propositions — typically the prosecution and defence hypotheses. Formally developed and systematised by Colin Aitken and Franco Taroni in their 2004 Wiley monograph, the LR expresses how much more probable the observed evidence is under one hypothesis than under the other, providing the court with a single, interpretable number that separates the scientist's role from the fact-finder's role.	The Bayes factor test, formalised by Harold Jeffreys in 1961, is a Bayesian method for comparing two competing hypotheses. Rather than returning a binary reject/retain verdict, it produces a continuous ratio BF₁₀ that quantifies how much more (or less) probable the data are under the alternative hypothesis H₁ than under the null hypothesis H₀.