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统计学方法在微量物证数据处理中的应用
引用本文:王黎,郭洪玲,朱军,王萍.统计学方法在微量物证数据处理中的应用[J].刑事技术,2020(2):125-130.
作者姓名:王黎  郭洪玲  朱军  王萍
作者单位:中国人民公安大学;公安部物证鉴定中心
基金项目:“十三五”国家重点研发项目(2017YFC0803803);中央级公益性科研院所基本科研业务费专项资金项目(2016JB014、2019JB021)。
摘    要:统计学方法在微量物证理化检验工作中受到越来越多的重视,采用有效的统计学方法对检验数据进行分析,不仅能够深度挖掘复杂数据背后信息,还能不断提高数据的应用价值和证据本身的证据价值。本文对目前微量物证领域常用统计学方法进行归纳总结,简要介绍了常用统计方法的应用,对各类方法优缺点进行说明。最后,对法庭科学工作者都比较感兴趣的贝叶斯统计与似然比方法在理化检验数据统计分析中的应用进行了介绍。

关 键 词:理化检验  统计学  微量物证  数据解释

Application of Statistical Methods into Interpreting Data from Trace Evidence
WANG Li,GUO Hongling,ZHU Jun,WANG Ping.Application of Statistical Methods into Interpreting Data from Trace Evidence[J].Forensic Science and Technology,2020(2):125-130.
Authors:WANG Li  GUO Hongling  ZHU Jun  WANG Ping
Institution:(People's Public Security University of China,Beijing 100038,China;Institute of Forensic Science,Ministry of Public Security,Beijing 100038,China)
Abstract:Statistics plays an increasing important role in interpreting scientifi c data.Statistical methods have recently been received more and more attention in forensic science,especially in the fi eld of trace evidence.Varieties of analytical method are often used to analyze different kinds of trace evidence,producing multidimensional physical and chemical data.Choosing the appropriate statistical methods to interpret the complicated data is crucial for the examiners to be provided with more convincing results from the investigated trace evidence.The commonly-used statistical methods in the fi eld of trace evidence are summarized in this paper,with the explanation about the problems existing in the related statistical methods.In addition,a brief introduction is made about the application of new statistical methods,e.g.,the likelihood ratio and Bayesian statistics.
Keywords:physical and chemical analysis  statistics  trace evidence  data interpretation
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