∗ Covers all mathematical models for statistical reliability analysis, including Bayesian estimation, accelerated testing, and Monte Carlo simulation
∗ Focuses on the estimation of various measures of system reliability based on the testing of individual units
∗ Contains new theoretical results available for the first time in print
∗ Features numerous examples demonstrating practical applications of the theory presented
Statistical Reliability Engineering is an important professional resource for reliability and design engineers, especially those in the telecommunications and electronics industries. It is also an excellent course text for advanced courses in reliability engineering.
Main Knowledge of Statistics.
Plans of Tests with a Single Censorship.
Bayes Methods of Reliability Estimation.
SYSTEM RELIABILITY ESTIMATION.
Testing with No Failures.
System Confidence Limits Based on Unit Test Results.
Confidence Limits for Systems Consisting of Units with Exponential Distribution of Time to Failure.
Sequential Criteria of Hypothesis Test and Confidence Limits for Reliability Indices.
Monte Carlo Simulation.
Monte Carlo Simulation for Optimal Redundancy.
Solutions to Problems.