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Item Details
| Title:
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STATISTICAL MODELING FOR DEGRADATION DATA
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| By: |
Hon Keung Tony Ng (Editor) |
| Format: |
Hardback |
| List price:
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£99.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
9811051933 |
| ISBN 13: |
9789811051937 |
| Publisher: |
SPRINGER VERLAG, SINGAPORE |
| Pub. date: |
22 August, 2017 |
| Edition: |
1st ed. 2017 |
| Series: |
ICSA Book Series in Statistics |
| Pages: |
374 |
| Description: |
This book focuses on the statistical aspects of the analysis of degradation data. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. |
| Synopsis: |
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. |
| Illustrations: |
67 Illustrations, color; 26 Illustrations, black and white; XVIII, 374 p. |
| Publication: |
Singapore |
| Imprint: |
Springer Verlag, Singapore |
| Returns: |
Returnable |
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