| Gamma Degradation Models: Inferences and Optimal Designs | |
|---|---|
| 學年 | 106 |
| 學期 | 1 |
| 出版（發表）日期 | 2017-09-01 |
| 作品名稱 | Gamma Degradation Models: Inferences and Optimal Designs |
| 作品名稱（其他語言） | |
| 著者 | Balakrishnan, N.; Tsai, C. C.; Lin, C. T. |
| 單位 | |
| 出版者 | Springer Singapore |
| 著錄名稱、卷期、頁數 | Statistical Modeling for degradation data |
| 摘要 | 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. |
| 關鍵字 | |
| 語言 | en_US |
| ISBN | 9789811051937 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112175 ) |
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