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    张久权, 黄一兰, 张瀛, 陈德鑫, 林建麒. 裂区试验资料均值的多重比较及错误辨析[J]. 中国烟草科学, 2015, 36(6): 105-111. DOI: 10.13496/j.issn.1007-5119.2015.06.019
    引用本文: 张久权, 黄一兰, 张瀛, 陈德鑫, 林建麒. 裂区试验资料均值的多重比较及错误辨析[J]. 中国烟草科学, 2015, 36(6): 105-111. DOI: 10.13496/j.issn.1007-5119.2015.06.019
    shu
    ZHANG Jiuquan, HUANG Yilan, ZHANG Ying, CHEN Dexin, LIN Jianqi. Multiple Comparison of Means and Misuse of Split Plot Design with Quantitative Data[J]. CHINESE TOBACCO SCIENCE, 2015, 36(6): 105-111. DOI: 10.13496/j.issn.1007-5119.2015.06.019
    Citation: ZHANG Jiuquan, HUANG Yilan, ZHANG Ying, CHEN Dexin, LIN Jianqi. Multiple Comparison of Means and Misuse of Split Plot Design with Quantitative Data[J]. CHINESE TOBACCO SCIENCE, 2015, 36(6): 105-111. DOI: 10.13496/j.issn.1007-5119.2015.06.019
    shu

    裂区试验资料均值的多重比较及错误辨析

    Multiple Comparison of Means and Misuse of Split Plot Design with Quantitative Data

      摘要
    • 摘要: 裂区设计是农作物田间试验中运用较多的一种试验设计,笔者发现人们在进行裂区试验资料的统计分析,尤其是多重比较时存在一些问题,许多重要的结果没有被总结出来,造成了损失.为此,结合实例介绍了裂区设计试验F检验和多重比较的方法,并对公开发表文献中的部分问题进行了辨析.

       

      Abstract: Split plot design is one of the most popular experiments in crop field study. However, several problematic areas still exist when scientists use split plot design with regards to statistical analysis, particularly in multiple comparison. Often many important results were not discovered, thus causing data loss. Therefore, by examples, we introduce the F test and mean multiple comparison for split design in this paper, then survey some misuses of split plot design in papers published and suggest improvement.

       

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