Fitting the generalized lambda distribution to pre-binned data

DOI10.1080/00949655.2015.1082132OpenAlexW2273058537MaRDI QIDQ5222439

Bin Wang, Xiao-Feng Wang

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

zbMATH Keywords

histogrammaximum likelihood methodmodel fittingbinned datatop-coded data

Mathematics Subject Classification ID

Roundoff error (65G50) General methods in interval analysis (65G40) Parametric inference and fuzziness (62F86) Rounding, estimation, theory of errors (educational aspects) (97N20)

Uses Software

• KernSmooth
• LMOMENTS
• AS 254

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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