Nonlinear weighted least squares estimation of a three-parameter Weibull density with a nonparametric start

DOI10.1016/j.cam.2008.09.025zbMath1175.65017OpenAlexW1990155951MaRDI QIDQ1019802

Dragan Jukić, Mirta Benšić, Darija Marković

Publication date: 28 May 2009

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2008.09.025

zbMATH Keywords

nonparametric estimatorleast squares estimatenonlinear weighted least squaresthree parameter Weibull distribution data fitting

Mathematics Subject Classification ID

Density estimation (62G07) Numerical smoothing, curve fitting (65D10) Point estimation (62F10) Reliability and life testing (62N05)

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Cites Work

• Estimating the parameters of Weibull distribution using simulated annealing algorithm
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• Existence results for special nonlinear total least squares problem
• Least-squares fitting Gompertz curve
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• Weibull Models
• On the existence of the least squares estimate in nonlinear growth curve models of exponential type
• Least‐squares problems for Michaelis–Menten kinetics
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