Integral global optimization method in statistical applications

DOI10.1016/0898-1221(93)90276-2zbMath0779.90073OpenAlexW2042372726MaRDI QIDQ1802490

Quan Zheng, Renjin Tu

Publication date: 21 July 1993

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0898-1221(93)90276-2

zbMATH Keywords

maximum likelihood estimationnonlinear regressionglobal minimizationintegral optimization methodnonconvex, nonsmooth discontinuous objective functions

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37) Computational methods for problems pertaining to operations research and mathematical programming (90-08) Probabilistic methods, stochastic differential equations (65C99)

Related Items (3)

Global optimization of nonlinear least-squares problems by branch-and-bound and optimality constraints ⋮ Non-causal models in long term planning via set contractive optimal control methods ⋮ Extremal problems on probability distributions

Cites Work

• Robust analysis and global minimization of a class of discontinuous functions. II
• Integral global optimization. Theory, implementation and applications
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• A review of maximum likelihood estimation methods for the three-parameter weibull distribution
• Maximum Likelihood Estimation with the Weibull Model
• Robust analysis and global optimization
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