Fitting Distribution to Data by a Generalized Nonlinear Least Squares Method

DOI10.1080/03610918.2012.714029zbMath1333.62064OpenAlexW2003654931MaRDI QIDQ5415879

Mirta Benšić

Publication date: 19 May 2014

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2012.714029

zbMATH Keywords

nonlinear regressionWeibull distributiongeneralized least squaresAnderson-Darling statisticCramer-von Mises statistic

Mathematics Subject Classification ID

Point estimation (62F10) General nonlinear regression (62J02)

Related Items (1)

A note on weighted least square distribution fitting and full standardization of the empirical distribution function

Cites Work

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• Estimating the parameters of Weibull distribution using simulated annealing algorithm
• Estimation of the generalized Pareto distribution
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• The minimum distance method of testing
• Modified weighted least-squares estimators for the three-parameter Weibull distribution
• Consistency for the least squares estimator in nonlinear regression model
• Estimation by the minimum distance method
• The Minimum Distance Method
• The Weibull Distribution
• Comparison of methods of estimation of parameters of the weibull distribution
• Goodness-of-fit tests for the two parameter Weibull distribution
• An Asymptotic Expansion for the Distribution of the Least Squares Estimator of the Non-Linear Regression Parameter
• Weibull Models
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes

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