Conditional Order Statistics and Conditional Spacings
This book mainly provides readers with stochastic and statistical properties of conditional order statistics and conditional spacings as well as some stochastic properties of load-sharing systems. The conditional lifetime is widely used in survival analysis and reliability-related areas, and the con...
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| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
|
| Έκδοση: | 1st ed. 2025. |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1007/978-981-96-7151-9 |
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| 100 | 1 | |a Zhang, Zhengcheng. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Conditional Order Statistics and Conditional Spacings |h [electronic resource] / |c by Zhengcheng Zhang. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XIII, 243 p. 23 illus.). |b 12 illus. in color. | ||
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| 505 | 0 | |a Chapter 1. Prelimilaries -- Chapter 2. The Residual Life and Inactivity Time of Coherent Systems -- Chapter 3. On Coherent Systems under Double Monitoring -- Chapter 4. The Residual Life of Surviving Component -- Chapter 5. The Number of Failed Components of Coherent Systems -- Chapter 6. Stochastic Properties and Parameter Estimation of Standby Systems -- Chapter 7. The Conditional Spacings and Their Stochastic Properties. | |
| 520 | |a This book mainly provides readers with stochastic and statistical properties of conditional order statistics and conditional spacings as well as some stochastic properties of load-sharing systems. The conditional lifetime is widely used in survival analysis and reliability-related areas, and the conditional spacing is very important in goodness-of-fit, Type-II censoring and life tests etc.. Although the main focus in the text is on this crucial characteristic, our presentation cannot be restricted to conditional order statistics, conditional spacing and load-sharing system analysis alone, other important reliability and corresponding ordered properties are studied as well. This book offers a comprehensive treatment of different reliability models focusing on properties of the residual life and conditional spacing of coherent systems and load-sharing systems. Our presentation combines classical and recent results of other authors with our research findings of the last fifteen years. The book is mostly targeted at researchers and engineers related to reliability theory and engineering, can be applicable as reference for both at senior undergraduate and graduate level. The results obtained can be used as a supplement and extensions and generalizations to reliability theory and practical reliability studies as well as related fields. Moreover, most of them may be regarded as technical support for engineering designers to design better products with higher reliability performance. | ||
| 532 | 8 | |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation, keyboard-friendly links and forms and searchable, selectable text. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. Please note that a more accessible version of this eBook is available as ePub. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Statistics . | |
| 650 | 0 | |a Stochastic models. | |
| 650 | 0 | |a Mathematical statistics. | |
| 650 | 1 | 4 | |a Statistical Theory and Methods. |
| 650 | 2 | 4 | |a Stochastic Modelling in Statistics. |
| 650 | 2 | 4 | |a Mathematical Statistics. |
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