Industrial data analytics for diagnosis and prognosis : a random effects modelling approach

Shiyu Zhou, Yong Chen

Introduction to data visualization and characterization -- Random vectors and the multivariate normal distribution -- Explaining covariance structure : principal components -- Linear model for numerical and categorical response variables -- Linear mixed effects model -- Diagnosis of variation source using PCA -- Diagnosis of variation sources through random effects estimation -- Analysis of system diagnosability -- Prognosis through mixed effects models for longitudinal data -- Prognosis using Gaussian process model -- Prognosis through mixed effects models for time-to-event data.

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Year of publication:	[2021]
Authors:	Zhou, Shiyu ; Chen, Yong
Publisher:	Hoboken, New Jersey : Wiley
Subject:	Industrielles Management \| Industrial management \| Data Analytics \| Data analytics \| Mehrebenenanalyse \| Multi-level analysis \| Statistische Methodenlehre \| Statistical theory \| Schätztheorie \| Estimation theory