模型开发中数据转换的统计分析方法

J. Diah, J. Ahmad, Mazidah Mukri
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引用次数: 8

摘要

总的来说,本文的主要思想是试图为不同领域的研究者在数据转换模型的多元回归基础上建立自己的模型提供一些思路。对于想要使用不同类型的模型方程(例如使用指数、平方根等)进行显著性统计分析的研究人员来说,总是存在问题。因此,通过遵循本文给出的统计方法的步骤,研究人员应该能够为他们的研究目的创建校准和验证模型。因此,所开发的模型可以使用已选择的适当变量进行敏感性分析。最后,基于最终的数据转换模型的多元回归,可以进一步发展图表、概念或理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Methodology on Statistical Analysis of Data Transformation for Model Development
Generally, the main idea of this paper is attempt to give some idea for the researchers with different fields who want to make their own model based on the multiple regression of data transformation model. There is always being problems for researchers who want to perform their significant statistic analysis with different type of model equation (e.g. by using exponential, square root and etc.). Consequently, by following the steps of statistical methodology that given in this paper, the researcher should be able to create the calibration and validation model for their research purposed. Hence, the model developed can be use with sensitivity analysis with the appropriate variables that had been selected. Finally the chart, concept or theory can be further developed based on final multiple regression of data transformation model.
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