STAT 466

Bayesian Reliability

Statistics College of Computational, Mathematical & Physical Sciences

Course Description

Mathematics, distributions, management, and maintenance of basic reliability concepts; collection and analysis of test data; fault tree analysis; applying reliability in various areas.

Winter.

3

3

3

2

Title

Reliability Concepts

Learning Outcome

a - Become familiar with basic reliability concepts and terminology b - Discuss the challenges of modeling censored data

Reliability Data

Learning Outcome

a - Know the attributes of and the situations in which the four main types of reliability data (pass/fail data, failure count data, lifetime data and degradation data) arise b - Be able to identify different types of reliability data

Title

Statistical Modeling of Reliability Data

Learning Outcome

a - Know the basic models for each type of reliability data b - Know how to construct likelihoods for reliability data c - Be able to construct likelihoods for censored lifetime data and explain the rationale

Title

Bayesian Modeling

Learning Outcome

a - Know the different types of prior distributions b - Recognize and identify the influence of prior distributions in an analysis c - Use Bayesian modeling for inference and prediction from reliability data d - Know how to sample from a variety of posterior distributions e - Model censored lifetime data with standard parametric distributions