Statistical inference about the location parameter of the three-parameter Weibull distribution
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Publication:3636722
DOI10.1080/00949650701413565zbMath1169.62020OpenAlexW1978665529MaRDI QIDQ3636722
Publication date: 29 June 2009
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949650701413565
Monte Carlo simulationconfidence intervalpoint estimationthree-parameter Weibull distributionupper confidence limit
Parametric tolerance and confidence regions (62F25) Point estimation (62F10) Monte Carlo methods (65C05) Reliability and life testing (62N05)
Related Items (4)
A new approach to fitting the three-parameter Weibull distribution: An application to glass ceramics ⋮ Approximate Bayesian analysis of doubly censored samples from mixture of two Weibull distributions ⋮ Fitting the three-parameter Weibull distribution with cross entropy ⋮ Bayesian analysis of two-component mixture of Weibull distributions using approximation techniques
Cites Work
- An investigation of transformation-based prediction interval for the Weibull median life
- Statistical inference about the shape parameter of the Weibull distribution
- Percentile estimators for the three-parameter weibull distribution for use when all parameters are unknown
- Inference from Grouped Data in Three-Parameter Weibull Models with Applications to Breakdown-Voltage Experiments
- Point and Interval Estimation Procedures for the Two-Parameter Weibull and Extreme-Value Distributions
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