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首页> 外文期刊>Communications in Statistics. B, Simulation and Computation >An Empirical Comparison of Estimating Methods for the Ramberg-Osgood EIV Model
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An Empirical Comparison of Estimating Methods for the Ramberg-Osgood EIV Model

机译:Ramberg-Osgood EIV模型的估计方法的经验比较

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摘要

The standard tensile test is one of the most frequent tools performed for the evaluation of mechanical properties of metals. An empirical model proposed by Ramberg and Osgood fits the tensile test data using a nonlinear model for the strain in terms of the stress. It is an Error-In-Variables (EIV) model because of the uncertainty affecting both strain and stress measurement instruments. The SIMEX, a simulation-based method for the estimation of model parameters, is powerful in order to reduce bias due to the measurement error in EIV models. The plan of this article is the following. In Sec. 2, we introduce the Ramberg-Osgood model and another reparametrization according to different assumptions on the independent variable. In Sec. 3, there is a summary of SIMEX method for the case at hand. Section 4 is a comparison between SIMEX and others estimating methods in order to highlight the peculiarities of the different approaches. In the last section, there are some concluding remarks.
机译:标准拉伸试验是用于评估金属机械性能的最常用工具之一。 Ramberg和Osgood提出的经验模型使用非线性模型根据应力对拉力测试数据进行拟合。由于不确定性会影响应变和应力测量仪器,因此它是变量误差(EIV)模型。 SIMEX是一种基于仿真的模型参数估计方法,功能强大,可以减少EIV模型中由于测量误差引起的偏差。本文的计划如下。在秒参照图2,我们介绍了Ramberg-Osgood模型和根据对自变量的不同假设进行的另一个重新参数化。在秒参见图3,该案例总结了SIMEX方法。第4节是SIMEX与其他估计方法之间的比较,目的是强调不同方法的特殊性。在上一节中,有一些总结性说明。

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