Fitting the generalized lambda distribution to pre-binned data
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Publication:5222439
DOI10.1080/00949655.2015.1082132OpenAlexW2273058537MaRDI QIDQ5222439
Publication date: 1 April 2020
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00949655.2015.1082132
Roundoff error (65G50) General methods in interval analysis (65G40) Parametric inference and fuzziness (62F86) Rounding, estimation, theory of errors (educational aspects) (97N20)
Uses Software
Cites Work
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- Characterizing the generalized lambda distribution by L-moments
- Numerical maximum log likelihood estimation for generalized lambda distributions
- Smoothing by weighted averaging of rounded points
- Averaged shifted histograms: Effective nonparametric density estimators in several dimensions
- Density estimation for data with rounding errors
- Algorithm AS 254: Maximum Likelihood Estimation from Grouped and Truncated Data with Finite Normal Mixture Models
- a study of the generalized tukey lambda family
- Fitting Mixture Models to Grouped and Truncated Data via the EM Algorithm
- Fitting Mixture Distributions Using Generalized Lambda Distributions and Comparison with Normal Mixtures
- A Probability Distribution and Its Uses in Fitting Data
- An approximate method for generating asymmetric random variables
- Handbook of Fitting Statistical Distributions with R
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