
System Reliability Theory by Marvin Rausand
Handbook and reference for industrial statisticians and system reliability engineers
System Reliability Theory: Models, Statistical Methods, and Applications, Third Edition presents an updated and revised look at system reliability theory, modeling, and analytical methods. The new edition is based on feedback to the second edition from numerous students, professors, researchers, and industries around the world. New sections and chapters are added together with new real-world industry examples, and standards and problems are revised and updated.
System Reliability Theory covers a broad and deep array of system reliability topics, including:
· In depth discussion of failures and failure modes
· The main system reliability assessment methods
· Common-cause failure modeling
· Deterioration modeling
· Maintenance modeling and assessment using Python code
· Bayesian probability and methods
· Life data analysis using R
Perfect for undergraduate and graduate students taking courses in reliability engineering, this book also serves as a reference and resource for practicing statisticians and engineers.
Throughout, the book has a practical focus, incorporating industry feedback and real-world industry problems and examples.
-
Introductory Statistics for Business and Economics
-
Biostatistics
-
Applied Econometric Times Series
-
Sample Size Determination and Power
-
Applied Longitudinal Analysis
-
Statistical Methods for Survival Data Analysis
-
Bayesian Analysis for the Social Sciences
-
An Elementary Introduction to Statistical Learning Theory
-
The Statistical Analysis of Failure Time Data
-
Regression Models for Time Series Analysis
-
Statistics for Experimenters
-
Loss Models
-
Statistical Rules of Thumb
-
Applied Logistic Regression
-
Bayesian Theory
-
Graphical Models in Applied Multivariate Statistics
-
Introduction to Linear Regression Analysis
-
Aspects of Multivariate Statistical Theory
-
Fundamentals of Queueing Theory
-
Statistics of Extremes
-
Applied Econometric Time Series
-
Structural Equations with Latent Variables
-
Nonparametric Statistical Methods
-
Applied Linear Regression
-
Computational Statistics
-
Models for Investors in Real World Markets
-
Regression Analysis by Example
-
Directional Statistics
-
Analysis of Financial Time Series
-
Statistical Intervals
-
An Introduction to Probability Theory and Its Applications, Volume 2
-
An Introduction to Categorical Data Analysis
-
Markov Decision Processes
-
Design and Analysis of Clinical Trials
MARVIN RAUSAND is Professor Emeritus in the department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology (NTNU), Norway, and author of Risk Assessment: Theory, Methods, and Applications and Reliability of Safety-Critical Systems: Theory and Applications, both published by Wiley.
ANNE BARROS, PHD, is Professor in reliability and maintenance engineering at Ecole CentraleSupélec, University of Paris-Saclay, France. Her research focus is on degradation modeling, prognostics, condition based and predictive maintenance. She got a PHD then a professorship position at University of Technology of Troyes, France (2003 2014) and spent five years as a full-time professor at NTNU, Norway (2014 2019). She is currently heading a research group and holds an industrial chair at CentraleSupélec with the ambition to provide reliability assessment and maintenance modeling methods for systems of systems.
The late ARNLJOT HØYLAND, PHD, was a Professor in the Department of Mathematical Sciences at the Norwegian University of Science and Technology.
| SKU | Unavailable |
| ISBN 13 | 9781119373520 |
| ISBN 10 | 1119373522 |
| Title | System Reliability Theory |
| Author | Marvin Rausand |
| Series | Wiley Series In Probability And Statistics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley & Sons Inc |
| Year published | 2021-01-04 |
| Number of pages | 864 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |

































