摘要
有缺失数据两因素随机区组试验资料是两因素水平组合重复数不等的非平衡资料。本文根据最小二乘原理提出分析这类资料的新方法。利用此法,可以估计出两因素的主效和互作效应,从而获得两因素各水平及其组合的最小二乘均数,并精确地进行方差分析与多重比较。最后,以一实例介绍该方法的应用。
The data with missing values in two-factor experiment with randomized block design is the unbalanced data with unequal replications of level combination of two factors. The method of least squares for analysing the kind of data was presented, first to estimate the main effects of the factors and their interactive effects, so as to get the least squares means (LSM) of them, and then to do analysis of variance and the difference significance test between LSMs of factor A, B and their level combinations. Finally, the application of the method was introduced by means of analysing a practical sample.
出处
《作物学报》
CAS
CSCD
北大核心
1997年第4期432-439,共8页
Acta Agronomica Sinica
基金
国家自然科学基金资助项目
关键词
两因素随机区组
缺失数据
最小二乘法
Two-factor experiment with randomized block design
Missing value
The method of least squares
Significance test
