Sampling variability in forensic likelihood-ratio computation: A simulation study
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- 作者：Tauseef Alia ; T.Ali@utwente.nl" class="auth_mail" title="E-mail the corresponding author ; Luuk Spreeuwersa ; L.J.Spreeuwers@utwente.nl" class="auth_mail" title="E-mail the corresponding author ; Raymond Veldhuisa ; R.N.J.Veldhuis@utwente.nl" class="auth_mail" title="E-mail the corresponding author ; Didier Meuwlyb ; d.meuwly@nfi.minvenj.nl" class="auth_mail" title="E-mail the corresponding author
- 关键词：Likelihood-ratio ; Forensics ; Biometric recognition ; Score ; Sampling variability
- 刊名：Science & Justice
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：55
- 期：6
- 页码：499-508
- 全文大小：679 K
文摘
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We perform a simulation study to explore three likelihood-ratio (LR) computation methods.
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We study the effect of the sampling variability based on assumed distribution of scores and sizes of the databases.
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Our study helps to understand the behavior of the three LR computation methods.
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We discuss the effect of the shapes of the score distributions, sizes of the training sets and the value of the score.