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

Bibliographic Details
Main Authors: Zhou, Shiyu, 1970- (Author), Chen, Yong (Professor of industrial and systems engineering) (Author)
Corporate Author: EBSCOhost
Format: eBook
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons, Inc., [2021]
Subjects:
Industrial engineering > Statistical methods.
Industrial management > Mathematics.
Random data (Statistics)
Estimation theory.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 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.