Reliability Analysis

Course Description

Reliability Analysis is specifically designed to meet the analytical needs of those individuals working within FDA regulated industries. Areas of focus include: distribution analysis, area under the curve estimation, hypothesis testing, life and survival estimation, thermal sensitivity, confidence intervals and multiple factor modeling.


 This Course is required for all scientists, engineers and quality professionals who actively work on all aspects of discovery, product and process development where the goal is to characterize, optimize and improve product and process performance. 


Engineering Statistics & Data Analysis is a recommended prerequisite.

8 Hours

Contact Information


1 (650) 967-2700

P.O. Box 2103
Sunnyvale, CA 94087-0103

Course Objectives

Upon completion of the course the participants will be able to:

  • Determine product reliability performance
  • Understand and apply non-parametric reliability analysis
  • Understand and apply parametric reliability analysis
  • Perform multivariate reliability assessment
  • Understand and apply recurrence analysis
  • Use Arrhenius transformations in reliability modeling
  • Select appropriate sample sizes for MTBF studies
  • Model reliability improvement using reliability growth models

Course Outline:

Introduction to reliability analysis and basic statistics

Nonparametric reliability analysis (Kaplan-Meier)
Parametric reliability analysis (LogNormal, Exponential, Weibull)

Competing Causes

Lifetime distribution analysis

Fit Life by X

Multivariate reliability analysis (Parametric Survival)

Recurrence analysis

MTBF analysis

Reliability growth analysis