Industrial Data Analytics for Diagnosis and Prognosis: A Random Effects Modelling Approach

by Yong Chen and Shiyu Zhou

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This bookintroduces the random effects modeling approach for industrial system diagnosis and prognosis. This book contains three main parts. The first part is theory preparation, which covers general statistical concepts and theory useful for describing and modelling fixed effects, random effects, and variation in a univariate or multivariate dataset, which provides necessary background for later chapters. The next part of the book focuses on Diagnosis...

Format:Hardcover

Language:English

ISBN:1119666287

ISBN13:9781119666288

Release Date:July 2021

Publisher:Wiley

Length:352 Pages

Weight:1.40 lbs.

Dimensions:0.8" x 6.0" x 9.0"

Related Subjects

Business Business & Investing Economics Math Mathematics Science & Math

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Industrial Data Analytics for Diagnosis and Prognosis: A Random Effects Modelling Approach

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