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。
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.
作者
王黎
郭洪玲
朱军
王萍
WANG Li;GUO Hongling;ZHU Jun;WANG Ping(People's Public Security University of China,Beijing 100038,China;Institute of Forensic Science,Ministry of Public Security,Beijing 100038,China)
出处
《刑事技术》
2020年第2期125-130,共6页
Forensic Science and Technology
基金
“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)。
关键词
理化检验
统计学
微量物证
数据解释
physical and chemical analysis
statistics
trace evidence
data interpretation