摘要
在科技论文中,经常出现测量、记录、计算值的有效位数错误,这类错误将使论文的科学性和学术质量受到影响,对它的审读不应忽视。文章简要阐述分析测试中的直接测量量、间接测量量、随机测量量、统计量等4种主要数值类型的有效位数确定规则,并进行实例分析,以供科技期刊编辑进行相关审读时参考。
There are often some errors of significant digits for numerical values of measurement,record and calculation results in sci-tech papers. Inspection of them should not be neglected. This article outlines the rules of determining significant digits for four kinds of numerical values from direct measurement, indirect measurement,random measurement and statistical calculation,and analyzes them with actual examples.
出处
《编辑学报》
CSSCI
北大核心
2016年第2期130-132,共3页
Acta Editologica
关键词
有效位数
经验规则
数据审读
significant digit
empiric rule
data inspection
