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Automation of Balanced Nested Design; NeDPy

机译:平衡嵌套设计的自动化; n

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This work was done considering the principle of automating nested designs. It was aimed at developing a user friendly statistical package (NeDPy) that can be used to analyse experiment that has nested factor(s). NeDPy was coined from “NESTED DESIGN PYTHON” and was developed using python programming language. Python modules like NumPy, Scipy, Matplotlib, Tkinter etc. was used to develop a user-friendly app with GUI (graphical user interface) that can analyse a two-stage and three-stage nested design to produce all relevant information. These include, indicating significant factor(s), creating ANOVA table, giving estimate for model and variance component, descriptive analysis, generating the residuals of the data set, drawing diagnostic plots like normal probability plot, box plot etc. NeDPy was used to solve problems from some cited sources where the problem has been solved both manually and using some trusted software. Some important results were compared and found to be identical. This validates NeDPy and makes it a recommendable statistical package for analysing nested design.
机译:考虑到这项工作是考虑到自动化嵌套设计的原则。它旨在开发一种用户友好的统计包(NEDPY),可用于分析具有嵌套因子的实验。 Nedpy从“嵌套设计Python”中成,并使用Python编程语言开发。像Numpy,Scipy,Matplotlib,TKinter等的Python模块用于开发具有GUI(图形用户界面)的用户友好的应用程序,可以分析两阶段和三级嵌套设计以生成所有相关信息。这些包括,指示显着因素,创建ANOVA表,给出模型和方差分量的估计,描述性分析,生成数据集的残差,绘制常规概率图,盒图等。Nedpe用于解决来自一些引用来源的问题,其中问题已经手动解决,并使用一些可信软件解决。比较了一些重要结果,发现是相同的。这验证了NEDPY,并使其成为分析嵌套设计的推荐统计包。

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