On interval estimation methods for the location parameter of the Weibull distribution: An application to alloy material fatigue failure data
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Publication:6588661
DOI10.1080/03610926.2023.2242984MaRDI QIDQ6588661
Xiaoyu Yang, LiYang Xie, [[Person:6588660|Author name not available (Why is that?)]], [[Person:6119030|Author name not available (Why is that?)]], [[Person:6119031|Author name not available (Why is that?)]]
Publication date: 16 August 2024
Published in: Communications in Statistics. Theory and Methods (Search for Journal in Brave)
Cites Work
- Estimating the parameters of \(3\)-\(p\) Weibull distribution using particle swarm optimization: a comprehensive experimental comparison
- Volatility forecasting using threshold heteroskedastic models of the intra-day range
- Maximum likelihood estimation for three-parameter Weibull distribution using evolutionary strategy
- Interval estimation for a lower-truncated distribution based on the double Type-II censored sample
- A Finite Mixture Three-Parameter Weibull Model for the Analysis of Wind Speed Data
- A Comparison of Approaches to Interval Estimation of Mediated Effects in Linear Regression Models
- The Weibull Distribution
- Statistical inference about the location parameter of the three-parameter Weibull distribution
- Maximum Likelihood Estimation for the Three Parameter Weibull Distribution Based on Censored Samples
- Inference from Grouped Data in Three-Parameter Weibull Models with Applications to Breakdown-Voltage Experiments
- Weibull Models
- Inferences on the Parameters of the Weibull Distribution
- An iterative method for parameter estimation of the three-parameter Weibull distribution based on a small sample size with a fixed shape parameter
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