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A Review on the Statistical Methods and Implementation to Homogeneity Assessment of Certified Reference Materials in Relation to Uncertainty

机译:关于不确定性的认证参考资料的同质性评估统计方法和实施述评

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摘要

An importance of data analysis, methods for homogeneity test and standard uncertainty evaluation associated in any measurement for exact quantification of certified value of any product is vital to be stressed in the scientific community. Herein, we have collectively summarized the detailed discussion on the basics of statistical parameters such as mean, median, mode, standard deviation, variance, range, normal distribution, and central limit theorem. Various statistical analysis methods such asztest,ttest, Chi-squared test, and ANOVA includingFtest have also been discussed in great detail to test the homogeneity of samples for certification of the reference material. The ISO guide 35 (2006) and Guide to Uncertainty in Measurement (GUM) are primarily considered to describe the basic concept of evaluating the associated uncertainty in the light of GUM modelling approach to avoid the error in the measurement which normally occurs in many scientific reports.
机译:数据分析的重要性,对任何产品认证价值的完全量化的任何测量相关的同质性试验和标准不确定性评估的方法是至关重要的,在科学界中强调。 在此,我们集体总结了关于统计参数的基础知识的详细讨论,例如平均值,中值,模式,标准偏差,方差,范围,正态分布和中央极限定理。 各种统计分析方法也已经详细讨论了诸如此之二,TTEST,Chi,Chi-Squared测试和Anova,以测试用于认证参考材料的样品的均匀性。 ISO指南35(2006)和测量中的不确定度指南(胶)主要被认为是描述根据Gum建模方法评估相关不确定性的基本概念,以避免通常发生在许多科学报告中的测量中的误差 。

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