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The Bootstrap Analysis of One-Way ANOVA Stability in the Case of the Ceramic Shell Mould of Airfoil Blade Casting

机译:翼型叶片铸件陶瓷壳型铸件单向方差分析的自举分析

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The analysis of variance (ANOVA) is a classic tool for an identification of discreet factors impact on the measurable output by a specific decomposition on a total variance according to the scheme proposed by R.A Fisher in the 1920s. There are many explicit and implicit assumptions required as a preliminary of ANOVA computations. The ANOVA computations scheme is well known and implemented in many types of software but all estimations are provided with the assumption of a normal and homoscedasticity distribution of the noise disturbing the output. Computation procedures produce a single number output (e.g. F statistics, p-Value) without any analysis of their own dispersion. This paper analyzes the ANOVA output using the bootstrap approach. It seems to be the most convenient as a data-driven procedure. The source raw data are taken from the image analysis conducted during the investigation of the impact of the ceramic layer thickness on the wax pattern assembly of a turbine blade on the (γ+γ') eutectic in the IN713C superalloy.
机译:方差分析(ANOVA)是一种经典工具,可根据费舍尔(R.A Fisher)在1920年代提出的方案,通过对总方差进行特定分解来识别离散因素对可测量输出的影响。作为ANOVA计算的基础,需要许多显式和隐式假设。 ANOVA计算方案是众所周知的,并已在许多类型的软件中实现,但是所有估计均假设干扰输出的噪声的正态分布和均方差分布。计算过程产生单个数字输出(例如F统计量,p值),而无需对其自身的色散进行任何分析。本文使用自举方法分析ANOVA输出。作为数据驱动的过程,这似乎是最方便的。源原始数据来自研究陶瓷层厚度对涡轮叶片蜡图案组件对IN713C高温合金(γ+γ')共晶的影响期间进行的图像分析。

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