Title | ||
---|---|---|
New Inference for Constant-Stress Accelerated Life Tests With Weibull Distribution and Progressively Type-II Censoring. |
Abstract | ||
---|---|---|
Constant-stress procedures based on parametric lifetime distributions and models are often used for accelerated life testing in product reliability experiments. Maximum likelihood estimation (MLE) is the typical statistical inference method. This paper presents a new inference method, named the random variable transformation (RVT) method, for Weibull constant-stress accelerated life tests with pro... |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/TR.2014.2313804 | IEEE Transactions on Reliability |
Keywords | Field | DocType |
Stress,Maximum likelihood estimation,Shape,Life estimation,Weibull distribution,Random variables | Exponentiated Weibull distribution,Inference,Weibull distribution,Parametric statistics,Accelerated life testing,Statistical inference,Statistics,Censoring (statistics),Scale parameter,Reliability engineering,Mathematics | Journal |
Volume | Issue | ISSN |
63 | 3 | 0018-9529 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bing Xing Wang | 1 | 40 | 6.56 |
Keming Yu | 2 | 0 | 0.34 |
Zhuo Sheng | 3 | 0 | 0.34 |