Analysing Gray Cast Iron Data using a New Shapiro-Wilks test for Normality under Indeterminacy

IF 1.3 4区材料科学 Q3 METALLURGY & METALLURGICAL ENGINEERING

International Journal of Cast Metals Research Pub Date : 2020-12-19 DOI:10.1080/13640461.2020.1846959

M. Aslam

引用次数: 6

Abstract

ABSTRACT Shapiro–Wilks test is popularly used for testing the normality of the data. Shapiro–Wilks test using the idea of neutrosophic statistics is discussed in this paper. The necessary equations are given under the indeterminacy environment. The testing procedure of the proposed test is given and explained with the help of chemical data. The performance of the proposed Shapiro–Wilks test is discussed with the Shapiro–Wilks test under the classical statistics. From the comparison, it is concluded that the proposed Shapiro–Wilks test is affective to apply when the data are obtained under uncertain environment.

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用新的Shapiro-Wilks不确定正态性检验分析灰铸铁数据

摘要Shapiro–Wilks检验常用于检验数据的正态性。本文讨论了利用中性粒细胞统计学思想进行的Shapiro-Wilks检验。给出了不确定性环境下的必要方程。给出了该试验的试验程序，并结合化学数据进行了说明。将所提出的Shapiro-Wilks检验与经典统计学下的Shapiro-Vilks检验的性能进行了讨论。从比较中可以得出结论，当数据是在不确定的环境下获得时，所提出的Shapiro–Wilks检验是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Cast Metals Research 工程技术-冶金工程

CiteScore

2.70

自引率

7.10%

发文量

审稿时长

7.5 months

期刊介绍： The International Journal of Cast Metals Research is devoted to the dissemination of peer reviewed information on the science and engineering of cast metals, solidification and casting processes. Assured production of high integrity castings requires an integrated approach that optimises casting, mould and gating design; mould materials and binders; alloy composition and microstructure; metal melting, modification and handling; dimensional control; and finishing and post-treatment of the casting. The Journal reports advances in both the fundamental science and materials and production engineering contributing to the successful manufacture of fit for purpose castings.