Abstract | ||
---|---|---|
This paper presents a new formulation of 'practical Bayes-estimators' (PBE) for the 2-parameter Weibull model when both parameters are unknown. Overcoming some limitations of the first formulation gave rise to this work, but the results are beyond this intent. These estimators are a tool to improve technical knowledge by using a few experimental data. In this case, the controversy about whether to... |
Year | DOI | Venue |
---|---|---|
1996 | 10.1109/24.488930 | IEEE Transactions on Reliability |
Keywords | Field | DocType |
Shape,Knowledge engineering,Monte Carlo methods,Reliability engineering,Maximum likelihood estimation,Parameter estimation,Filters,Statistics,Mean square error methods,Sampling methods | Monte Carlo method,Experimental data,Weibull distribution,Shape parameter,Estimation theory,Statistics,Mathematics,Reliability theory,Estimator,Bayes' theorem | Journal |
Volume | Issue | ISSN |
45 | 1 | 0018-9529 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pasquale Erto | 1 | 8 | 3.03 |
Massimiliano Giorgio | 2 | 0 | 0.34 |