摘要
以文献的试验数据为例,较为系统地探讨了多指标正交试验数据的优化分析方法。结果表明:(1)多指标正交试验的直观分析最好要考虑误差(空白列)的影响和进行方差分析,以准确寻找重要试验因素;(2)对于试验效应不显著的因素,不宜与评价指标做相关性分析;(3)不同评价指标下各因素的最优水平存在一定的差异,应综合方差分析、因素贡献率和同一因素不同水平效应差异显著性检验的结果,确定试验最优水平组合。
Analysis and optimization of data from orthogonal design was carried out. Results showed that： 1） range analysis of multi-index orthogonal experiment should be included in the analysis of blank list, analysis of variance should be performed in order to determine important experimental factors; 2） correlation coefficient of a factor and experimental indicator needn＇t be calculated when the effect of the factor is non-significant ; 3） according to different evaluated index, the optimal level of a factor differs and the optimal levels of different factors may be decided by analysis of variance and contribution ratio of the factor＇ s and multiple comparisons of one factor at different levels.
出处
《中国烟草学报》
EI
CAS
CSCD
2008年第2期9-14,共6页
Acta Tabacaria Sinica
关键词
正交试验
方差分析
多重比较
orthogonal design
analysis of variance
multiple comparison
