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Testing Equality of Selected Parameters in Particular Nonlinear Models

机译:特别是非线性模型中所选参数的平等

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In this paper, we concern at situations where we have to compare selected parameters from particular nonlinear models. A motivational examples of previously modelled data are given at the beginning. When comparing parameters from two models, it is possible to combine them into one model. But for three and more models, it is necessary to correct significance level at advance. Two approaches to solving this problem are stated, so-called Sidak correction and Bonferroni method. Results of these methods as well as results coming from the situation where significance level correction is omitted are compared based on simulated data.
机译:在本文中,我们关注我们必须从特定非线性模型中比较所选参数的情况。在开始时给出了先前建模数据的动机示例。在从两个模型中比较参数时,可以将它们组合成一个模型。但对于三种和更多的型号,有必要在提前纠正显着性水平。陈述了解决这个问题的两种方法,所谓的Sidak校正和Bonferroni方法。这些方法的结果以及来自省略了显着水平校正的情况的结果,基于模拟数据比较。

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