| 000 | 03628nam a22006375i 4500 | ||
|---|---|---|---|
| 999 |
_c200457450 _d75662 |
||
| 003 | TR-AnTOB | ||
| 005 | 20231122102622.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210813s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030769048 | ||
| 024 | 7 |
_a10.1007/978-3-030-76904-8 _2doi |
|
| 040 |
_aTR-AnTOB _beng _cTR-AnTOB _erda |
||
| 041 | _aeng | ||
| 050 | 4 | _aTA169 | |
| 072 | 7 |
_aTBC _2bicssc |
|
| 072 | 7 |
_aKJM _2bicssc |
|
| 072 | 7 |
_aTEC000000 _2bisacsh |
|
| 072 | 7 |
_aTBC _2thema |
|
| 072 | 7 |
_aKJM _2thema |
|
| 090 | _aTA169EBK | ||
| 100 | 1 |
_aPham, Hoang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aStatistical Reliability Engineering _h[electronic resource] : _bMethods, Models and Applications / _cby Hoang Pham. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
|
| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringer Series in Reliability Engineering, _x2196-999X |
|
| 505 | 0 | _aProbability, Statistics, and Reliability Concepts -- Distribution Functions and Its Applications -- Statistical Parameter Estimation -- System Reliability Modeling -- Order Statistics and Reliability Estimation -- Stochastic Processes -- Maintenance Modeling -- Software Reliability -- Statistical Machine Learning Methods and Its Applications. | |
| 520 | _aThis book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author’s recent research and publications as well as experience of over 30 years in this field. The book covers a wide range of methods and models in reliability, and their applications, including: statistical methods and model selection for machine learning; models for maintenance and software reliability; statistical reliability estimation of complex systems; and statistical reliability analysis of k out of n systems, standby systems and repairable systems. Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field. | ||
| 650 | 0 | _aIndustrial Management. | |
| 650 | 0 | _aSecurity systems. | |
| 650 | 0 | _aStatistics . | |
| 650 | 0 | _aIndustrial engineering. | |
| 650 | 0 | _aProduction engineering. | |
| 650 | 0 | _aComputers. | |
| 650 | 0 | _aComputer science—Mathematics. | |
| 650 | 0 | _aMathematical statistics. | |
| 650 | 1 | 4 | _aIndustrial Management. |
| 650 | 2 | 4 | _aSecurity Science and Technology. |
| 650 | 2 | 4 | _aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 650 | 2 | 4 | _aIndustrial and Production Engineering. |
| 650 | 2 | 4 | _aHardware Performance and Reliability. |
| 650 | 2 | 4 | _aProbability and Statistics in Computer Science. |
| 653 | 0 | _aReliability (Engineering) -- Statistical methods | |
| 710 | 2 | _aSpringerLink (Online service) | |
| 830 | 0 |
_aSpringer Series in Reliability Engineering, _x2196-999X |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-030-76904-8 _3Springer eBooks _zOnline access link to the resource |
| 942 |
_2lcc _cEBK |
||