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Can I read Statistical Modeling for Degradation Data (ICSA Book Series in Statistics) on EtoBox?

Statistical Modeling for Degradation Data (ICSA Book Series in Statistics) by Ding-Geng (Din) Chen,Yuhlong Lio,Hon Keung Tony Ng,Tzong-Ru Tsai (eds.) is a nonfiction available to read on EtoBox.

What is Statistical Modeling for Degradation Data (ICSA Book Series in Statistics) about?

"This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products' reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering."--Page [4] of cover

Who reads Statistical Modeling for Degradation Data (ICSA Book Series in Statistics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Ding-Geng (Din) Chen,Yuhlong Lio,Hon Keung Tony Ng,Tzong-Ru Tsai (eds.)
Publisher
Springer Singapore Imprint : Springer
Published
2017
Language
EN
ISBN
9789811051951
Category
nonfiction
Subjects
Mathematics, Engineering, Business

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