Easy estimation by a new parameterization for the three-parameter lognormal distribution
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Publication:4825486
DOI10.1080/0094965031000104341zbMath1048.62025arXiv1311.3753OpenAlexW3106283894MaRDI QIDQ4825486
Publication date: 28 October 2004
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1311.3753
dimension reductionembedded problemextended lognormal distributionlocal maximum likelihood estimateprimary relative maximum
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Related Items (3)
Interval and point estimators for the location parameter of the three-parameter lognormal distribution ⋮ A global simulated annealing heuristic for the three-parameter lognormal maximum likelihood estimation ⋮ Suitable Algorithm Associated with a Parameterization for the Three-Parameter Log-Normal Distribution
Cites Work
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- Small sample properties of the maximum likelihood estimators for an alternative parameterization of the three-parameter lognormal distribution
- Estimation of the Shape and Scale Parameters of the Weibull Distribution
- The use of interior penalty functions to overcome lognormal distribution parameter estimation anomalies
- Moving truncations barrier-function methos for estimation in three-parameter lognormal models
- k-Sample Maximum Likelihood Ratio Test for Change of Weibull Shape Parameter
- ESTIMATION OF PARAMETERS IN THE THREE‐PARAMETER LOGNORMAL DISTRIBUTION1
- The Three-Parameter Lognormal Distribution and Bayesian Analysis of a Point-Source Epidemic
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