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Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A fair bed allocation during COVID-19 pandemic using TOPSIS technique based on correlation coefficient for interval-valued pythagorean fuzzy hypersoft set. [PDF]

Sci Rep
Zulqarnain RM, Ma WX, Siddique I, Ahmad H, Askar S.   +4 more
europepmc   +1 more source

Inferential procedures based on the weighted Pearson correlation coefficient test statistic. [PDF]

J Appl Stat
Yu H, Hutson AD.
europepmc   +1 more source

Table of significant values of the multiple correlation coefficient

, 1928
Wishart, J.
core  

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A New Coefficient of Correlation

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Sourav Chatterjee
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Xiaojian Gao
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DCCA cross-correlation coefficient: Quantifying level of cross-correlation

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G F Zebende
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User's guide to correlation coefficients

Turkish Journal of Emergency Medicine, 2018
Akoglu H
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