On a modification of Marquardt's compromise: Rationale and applications
From MaRDI portal
Publication:1050762
DOI10.1016/0096-3003(83)90039-5zbMath0513.65098OpenAlexW1988632408MaRDI QIDQ1050762
S. P. Azen, R. N. Bergman, J. Garcia-Pena
Publication date: 1983
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0096-3003(83)90039-5
ridge regressionstandard test problemsmodel of plasma insulin dynamicsproblem of near-singularitysearch method of interpolation-extrapolation
General nonlinear regression (62J02) Probabilistic methods, stochastic differential equations (65C99) Physiological, cellular and medical topics (92Cxx)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On a modification of Marquardt's compromise: Rationale and applications
- Solving the nonlinear least square problem: Application of a general method
- Dynamic programming and ill-conditioned linear systems
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter
- Ridge regression:some simulations
- A Monte Carlo Evaluation of Some Ridge-Type Estimators
- Ridge regression iterative estimation of the biasing parameter
- A simulation study of ridge and other regression estimators
- A Simulation Study of Alternatives to Ordinary Least Squares
- A simple automatic derivative evaluation program
- A Comparison of Several Current Optimization Methods, and the use of Transformations in Constrained Problems
- Wengert's numerical method for partial derivatives, orbit determination and quasilinearization
- Comparison of Gradient Methods for the Solution of Nonlinear Parameter Estimation Problems
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- An Improved Marquardt Procedure for Nonlinear Regressions
- Spiral--A new algorithm for non-linear parameter estimation using least squares
- A Simplex Method for Function Minimization
- A method for the solution of certain non-linear problems in least squares
This page was built for publication: On a modification of Marquardt's compromise: Rationale and applications