| 書目名稱 | Statistical Modeling for Degradation Data |
| 編輯 | Ding-Geng (Din) Chen,Yuhlong Lio,Tzong-Ru Tsai |
| 視頻video | http://file.papertrans.cn/877/876563/876563.mp4 |
| 概述 | All authors are experts engaged in statistical modeling in degradation data analysis.Timely discussions of and presentations on methodological developments and real-world applications.Data and compute |
| 叢書名稱 | ICSA Book Series in Statistics |
| 圖書封面 |  |
| 描述 | 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. . |
| 出版日期 | Book 2017 |
| 關鍵詞 | Statistical Models; Degradation Models; Reliability Models; Accelerated Degradation Data; Non-Destructiv |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-5194-4 |
| isbn_softcover | 978-981-13-5340-6 |
| isbn_ebook | 978-981-10-5194-4Series ISSN 2199-0980 Series E-ISSN 2199-0999 |
| issn_series | 2199-0980 |
| copyright | Springer Nature Singapore Pte Ltd. 2017 |
|Archiver|手機版|小黑屋|
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