Industrial Data Analytics for Diagnosis and Prognosis: A Random Effects Modelling Approach
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Discover data analytics methodologies for the diagnosis and prognosis of industrial systems under a unified random effects model
In Industrial Data Analytics for Diagnosis and Prognosis - A Random Effects Modelling Approach, distinguished engineers Shiyu Zhou and Yong Chen deliver a rigorous and practical introduction to the random effects modeling approach for industrial system diagnosis and prognosis. In the book's two parts, general statistical concepts and useful theory are described ...






















