A cautionary tale about weibull analysis

Mackisack M.S. and Stillmao R.H. (1996) A cautionary tale about weibull analysis. IEEE Transactions on Reliability, 45 2: 244-248. doi:10.1109/24.510809


Author Mackisack M.S.
Stillmao R.H.
Title A cautionary tale about weibull analysis
Journal name IEEE Transactions on Reliability   Check publisher's open access policy
ISSN 0018-9529
Publication date 1996-01-01
Sub-type Article (original research)
DOI 10.1109/24.510809
Volume 45
Issue 2
Start page 244
End page 248
Total pages 5
Subject 2208 Electrical and Electronic Engineering
1708 Hardware and Architecture
1704 Computer Graphics and Computer-Aided Design
1712 Software
2213 Safety, Risk, Reliability and Quality
Abstract Summary & Conclusions - This paper makes three points about possible perils of unguarded fitting of Weibull distributions to data: 1. bias is introduced by incomplete data, which may have counter-intuitive effects; 2. bias is introduced into percentilc estimates by using regression on log-transformed variables to fit the Weibull parameters, particularly if the percentile to be predicted lies outside the range of the data; 3. the amount of variation associated with such estimates can be very substantial. A partial solution to the incomplete data problem using simulation is presented, and the maximum likelihood approach to parameter estimation and its advantages relative to regression estimation are explained. The problem arose in predicting life expectancy of long-lived components subject to natural aging which cannot be investigated using accelerated testing and for which the collection of data provides an incomplete life record.
Keyword Censored data
Maximum likelihood estimation
Survival analysis
Truncated data
Weibull distribution
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
 
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Created: Sat, 09 Jul 2016, 16:07:28 EST by System User