改进您的DOE -响应转换分析

IF 2.1 4区材料科学 Q3 MATERIALS SCIENCE, COATINGS & FILMS

Journal of Plastic Film & Sheeting Pub Date : 2022-01-01 DOI:10.1177/87560879211069688

Shari Kraber

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引用次数: 0

摘要

设计实验(DOE)的典型数据分析使用方差分析(ANOVA)。良好模型的特征包括具有统计上显著的模型项(并进行模型缩减以删除不重要的项)，以及良好的拟合统计缺乏，理想情况下，调整后的r平方和预测的r平方值较高。除此之外，重要的是要验证使用方差分析的基本统计假设。这些假设包括:

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Improving Your DOE - Analysis with Response Transformations

The typical data analysis from a designed experiment (DOE) uses analysis of variance (ANOVA). Characteristics of a good model include having statistically significant model terms (and doing model reduction to remove insignificant terms), along with good lack of fit statistics and ideally, higher adjusted R-squared and predicted R-squared values. Beyond this, it is important that the underlying statistical assumptions for the use of ANOVA are verified. These assumptions include:

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来源期刊

Journal of Plastic Film & Sheeting 工程技术-材料科学：膜

CiteScore

6.00

自引率

16.10%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Plastic Film and Sheeting improves communication concerning plastic film and sheeting with major emphasis on the propogation of knowledge which will serve to advance the science and technology of these products and thus better serve industry and the ultimate consumer. The journal reports on the wide variety of advances that are rapidly taking place in the technology of plastic film and sheeting. This journal is a member of the Committee on Publication Ethics (COPE).