- Quality Control
- Statistical Process Control
- Quality Assurance
This second edition includes more explanation on the benefits and weaknesses of the competing methods for parameter estimation, and tips for which method to use in a given situation. A chapter has been added to address data sets with few or no failures. This chapter also includes a discussion of test design and an algorithm for financially optimizing durability tests.
This book has been written in a manner to accommodate both the novice and the experienced engineer or statistician. The novice can apply the techniques presented by reading the assumptions and application requirements, while the veteran can gain more understanding by reading the mathematical details of the technique.
Average Customer Rating: (5 of 5 based on 1 review)
"This is undoubtedly the most useful, complete, and easy-to-follow book on Weibull Analysis that I have yet seen ... excellent work! The book walks you through the more basic concepts first (such as overview of the Weibull distribution and Parameter Estimation), and then logically proceeds to more complex and challenging topics such as Confidence Intervals and Goodness-of-Fit testing. The examples are complete and easily workable, while the text is simple, straight-forward, and complete."