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Generalized lineal models for the analysis of binary data from propagation experiments of Brazilian orchids.

机译:用于分析来自巴西兰花繁殖实验的二进制数据的广义线性模型。

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摘要

This study aimed at applying the generalized linear models (GLM) for the analysis of a germination experiment of Cattleya bicolor in which the response variable was binary. The purpose of this experiment was to assess the effects of the storage temperatures and culture mediums on the seed viability. The analyses of variance was also carried out either with or without the data transformation. All the statistical approaches indicated the importance of the storage temperature on the seed viability. But, the culture media and interaction effects were significant only by the GLM. Based on the GLM, the seeds stored at 10 degrees C increased viability, in which the coconut medium achieved the best performance. The results emphasized the importance of adopting the GLM to improve the reliability in many situations where the response variable followed a non-normal distribution.
机译:这项研究旨在应用广义线性模型(GLM)来分析卡特兰双色发芽实验,其中响应变量是二元的。该实验的目的是评估储存温度和培养基对种子活力的影响。在进行或不进行数据转换的情况下,也进行方差分析。所有的统计方法都表明了储存温度对种子活力的重要性。但是,只有GLM才具有文化媒介和互动作用。基于GLM,在10摄氏度下储存的种子提高了生存能力,其中椰子培养基表现最佳。结果强调了在许多情况下响应变量遵循非正态分布的情况下采用GLM来提高可靠性的重要性。

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