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Regression sum of squares of randomized complete block design with one unrecorded observation

机译:随机完整块设计的回归总和,一个未记录的观察

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In the classical design of experiment, a randomized complete block design (RCBD) is a helpful experimental design because this design uses a small number of experimental units. The randomized complete block design is comprised of two factors, i.e., one nuisance factor and one potential factor. In many real experiments, some data may be missing or unrecorded. The instant formulae were not provided for an analysis of variance in this case. This paper took into account the RCBD with a treatments and b blocks. In this contribution, the RCBD with an unrecorded value was analyzed by means of the exact scheme with the general linear model. Due to no ready-made formula in the past, this research paper provided the mathematical formulae for the fitted parameters and the overall regression sum of squares (ORSS) for the full model of experimental data.
机译:在经典的实验设计中,随机完整的块设计(RCBD)是一个有用的实验设计,因为这种设计使用了少量的实验单元。随机完整的块设计由两个因素,即一个滋扰因子和一个潜在因子组成。在许多真实实验中,一些数据可能丢失或未记录。在这种情况下,未提供瞬间公式用于分析方差。本文考虑了rcbd治疗和b块。在这一贡献中,通过具有通用线性模型的确切方案来分析具有未记录值的RCBD。由于过去没有现成的配方,本研究论文为拟合参数和整个实验数据模型的正方形(ORSS)的总回归总和提供了数学公式。

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