首页> 外文会议>18th TIES conference on Computational environmetrics : Protection of renewable environment and human and ecosystem health >Planning of factorial experiments with one control treatment in a block design with nested rows and columns for environmental research
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Planning of factorial experiments with one control treatment in a block design with nested rows and columns for environmental research

机译:在环境研究中用嵌套行和列的块设计中的一种对照处理进行析因实验的计划

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We presented principles for the planning of factorial experiments concerned with protection of the environment, carried out on heterogeneous experimental material or, for example, in the case of non-uniform or, particularly, low levels of disease or pest infection. A block design with nested rows and columns (NRC) is proposed. We supposed that there are a levels of experimental factor A and b levels of experimental factor B. Hence ab experimental combinations and one control treatment are applied to experimental units. We assumed a mixed linear model resulting from randomization of blocks, rows and columns. We proposed stratum analysis and obtained the efficiency factors of estimation of treatment contrasts in the strata. We described a NRC design having certain properties. We considered type S designs, designs possessing C-property and presented constructions of type S NRC designs and NRC designs possessing C-property. A necessary and sufficient condition is obtained for a type S NRC design to be design possessing C-property.
机译:我们提出了与环境保护有关的析因实验计划的原则,这些原则是在异类实验材料上进行的,或者例如在不均匀的情况下,尤其是在疾病或有害生物感染水平较低的情况下进行。提出了具有嵌套行和列(NRC)的块设计。我们假设存在实验因子A和实验因子B的水平。因此,将ab实验组合和一种对照处理应用于实验单位。我们假设混合线性模型是由块,行和列的随机化产生的。我们提出了分层分析方法,并获得了估计分层治疗对比度的效率因子。我们描述了具有某些属性的NRC设计。我们考虑了S型设计,具有C属性的设计,并介绍了S型NRC设计和具有C属性的NRC设计的构造。对于具有C属性的S型NRC设计,获得了充要条件。

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