Optimal weighting of a priori statistics in linear estimation theory
DOI10.1016/0096-3003(93)90148-8zbMath0776.62081OpenAlexW2025071697MaRDI QIDQ687024
Publication date: 17 October 1993
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0096-3003(93)90148-8
dynamical systemlinear correctionTaylor series expansionoptimal weightinga priori covarianceill- conditioned problemsminimum variance solution techniquesnominal solutionsatellite's orbitspace mechanics simulation
Linear regression; mixed models (62J05) Applications of statistics (62P99) Survival analysis and censored data (62N99) Orbital mechanics (70M20)
Cites Work
- The generalized ridge estimator and improved adjustments for regression parameters
- Ridge Regression — 1980: Advances, Algorithms, and Applications
- A Simulation of Biased Estimation and Subset Selection Regression Techniques
- A Simulation Study of Some Ridge Estimators
- The Minimum Mean Square Error Linear Estimator and Ridge Regression
- 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 Class of Biased Estimators in Linear Regression
- Partitioned Ridge Regression
- Explicit and Constrained Generalized Ridge Estimation
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Ridge Regression: Applications to Nonorthogonal Problems
- Some Comments on C P
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