| Titre : |
Statistical Reliability Engineering: : Methods, Models and Applications |
| Type de document : |
texte imprimé |
| Auteurs : |
Hoang Pham, Auteur |
| Editeur : |
Springer |
| Année de publication : |
2022 |
| Importance : |
644 p |
| Présentation : |
couv.ill.fig.tab.ind |
| Format : |
24x15.5 cm |
| ISBN/ISSN/EAN : |
978-3-030-76906-2 |
| Prix : |
16 500,00 DA |
| Langues : |
Anglais (eng) |
| Résumé : |
This 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.
|
Statistical Reliability Engineering: : Methods, Models and Applications [texte imprimé] / Hoang Pham, Auteur . - Switzerlan, Switzerlan : Springer, 2022 . - 644 p : couv.ill.fig.tab.ind ; 24x15.5 cm. ISBN : 978-3-030-76906-2 : 16 500,00 DA Langues : Anglais ( eng)
| Résumé : |
This 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.
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Statistical Reliability Engineering:
