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_c395313 _d395313 |
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| 001 | 395313 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230210142307.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210813s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030769048 | ||
| 024 | 7 |
_a10.1007/978-3-030-76904-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aTA169 _b2022 EB |
|
| 100 | 1 |
_aPham, Hoang _eautor _996526 |
|
| 245 | 1 | 0 |
_aStatistical Reliability Engineering : _bMethods, Models and Applications _cby Hoang Pham |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
|
| 300 |
_a1 recurso en línea (XX, 497 páginas) _b54 ilustraciones |
||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_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. | ||
| 988 | _aSpringer_Engineering_2022 | ||
| 650 | 7 |
_2embne _9141577 _aFiabilidad (Ingeniería) |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030769031 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030769055 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030769062 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-76904-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2023 _dz _eu _zSI |
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