Lurking Variable Detection via Dimensional Analysis

DOI10.1137/17M1155508zbMath1422.62195arXiv1711.03918OpenAlexW2962813885MaRDI QIDQ5228357

Minyong Lee, Gianluca Iaccarino, Zachary del Rosario

Publication date: 12 August 2019

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1711.03918

zbMATH Keywords

hypothesis testingdimensional analysislurking variablespinned quantities

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (1)

Artificial neural network based response surface for data-driven dimensional analysis

Uses Software

• R
• MASS (R)
• binom
• ggplot2
• bootstrap
• progress

Cites Work

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• Use and Abuse of Regression

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