拉丁方设计的统计量分布证明过程教学设计
Teaching Design of Proving of StatisticsDistribution for Latin Design
DOI: 10.12677/SA.2022.113071, PDF, 下载: 198  浏览: 270  科研立项经费支持
作者: 唐安氏:云南大学,统计系,云南 昆明
关键词: 试验设计方差分析拉丁方设计索引矩阵统计量Experience Design Analysis of Variance Latin Design Index Matrix Test Statistics
摘要: 拉丁方设计是《试验设计》析因试验部分实施的重要方法,也包含了方差分析内容,以往的关于 拉丁方设计检验统计量的证明较为繁杂,大多教材只给出其结论。 本文基于自定义的水平均值索 引矩阵及其性质,证明拉丁方设计的检验统计量的分布,通俗易懂,并且容易推广到其他的方差 分析模型。
Abstract: Latin square design is an important method for analysis of variance (ANOVA) in the course of experimental design. The previous proof of test statistics for Latin design is difficult for most students to understand, therefore many textbooks only give some conclusions about Latin design. In this paper, based on the defined horizontal mean index matrix and its properties, the proving process about test statistics for Latin design is easy to understand, and can be easily extended to other models for analysis of variance.
文章引用:唐安氏. 拉丁方设计的统计量分布证明过程教学设计[J]. 统计学与应用, 2022, 11(3): 660-668. https://doi.org/10.12677/SA.2022.113071

参考文献

[1] Montgomery, D.C. (1976) Design and Analysis of Experiments. Willey, New York.
[2] 王万中. 试验的设计与分析[M]. 北京: 高等教育出版社, 2004.
[3] 卵诗松, 周纪萝, 陈颖. 试验设计[M]. 第2版. 北京: 中国统计出版社,2012.
[4] 方开泰, 马长兴. 正交与均匀试验设计[M]. 北京: 科学出版社, 2001.