maxLik: a package for maximum likelihood estimation in R
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Publication:2513361
DOI10.1007/s00180-010-0217-1zbMath1304.65039OpenAlexW2023219679MaRDI QIDQ2513361
Publication date: 28 January 2015
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-010-0217-1
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Uses Software
Cites Work
- Alternative covariance estimators of the standard Tobit model
- maxLik: a package for maximum likelihood estimation in R
- Convergence theorems for a class of simulated annealing algorithms on ℝd
- A Family of Variable-Metric Methods Derived by Variational Means
- A new approach to variable metric algorithms
- The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
- Conditioning of Quasi-Newton Methods for Function Minimization
- A Simplex Method for Function Minimization
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