Statistical Reliability Engineering: Methods, Models and Applications - Hoang Pham
-30% ar kodu BOOKS
Piegāde 12-18 darba dienu laikā
30 dienu atgriešanas politika
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, ... Pilns apraksts
Jums varētu patikt arī
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Practical Electronics for Inventors
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Black Holes: The Key to Understanding the Universe
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
KiCad Like A Pro - Fundamentals and Projects: Getting started with the world's best open-source PCB tool
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Learning the Art of Electronics: A Hands-On Lab Course
Thomas C. Hayes, Paul Horowitz, David Abrams
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Arduino UNO Q and AI: Learn to Build Intelligent Embedded Systems
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Flowers For Algernon: A Modern Literary Classic
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Collection of Exercises for PLC Programming: 100 programming exercises from beginner to expert level
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Professional SMD Assembly: Practical Low-Cost Methods for Reliable PCB Production
-30% ar kodu BOOKS
Piegādātāja noliktavā
TOP
Blood in the Machine: The Origins of the Rebellion Against Big Tech
-30% ar kodu BOOKS
Piegādātāja noliktavā
Aprašymas
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.
Vairāk informācijas
| Autors | Hoang Pham |
|---|---|
| Izdevējs | Springer Nature Switzerland |
| Series | Springer Series in Reliability Engineering |
| Izlaides gads | 2022 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783030769062 |