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首页> 外文期刊>Journal of Modern Applied Statistical Methods >Comparison of Re-sampling Methods to Generalized Linear Models and Transformations in Factorial and Fractional Factorial Designs
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Comparison of Re-sampling Methods to Generalized Linear Models and Transformations in Factorial and Fractional Factorial Designs

机译:重新采样方法对阶乘和分数阶乘设计的广义线性模型和转换的比较

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Experimental situations in which observations are not normally distributed frequently occur in practice. A common situation occurs when responses are discrete in nature, for example counts. One way to analyze such experimental data is to use a transformation for the responses; another is to use a link function based on a generalized linear model (GLM) approach. Re-sampling is employed as an alternative method to analyze non-normal, discrete data. Results are compared to those obtained by the previous two methods.
机译:实际情况下,预测通常分布的实验情况。当响应本质上是离散的响应时,发生常见情况,例如计数。分析这种实验数据的一种方法是使用转换来进行响应;另一个是基于广义线性模型(GLM)方法使用链路功能。重新采样作为分析非正常离散数据的替代方法。将结果与前两种方法获得的结果进行比较。

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