A method is proposed for least absolute deviation curve fitting. It may be used to obtain least absolute deviations fits of general linear regressions. As a special case it includes a minor variant of a method for fitting straight lines by least absolute deviations that was previously thought to possess no generalization. The method has been tested on a computer and was found on a range of problems to execute in 1/4 to 1/20 of the cpu time required by a published algorithm based on linear programming.Technical report DCS-TR-6
Least absolute deviation (LAD) regression is an important tool used in numerous applications through...
A least-squares method for calculating coefficients from a linear differential equation directly fro...
Seven computerprograms for non-linear regression or curve fitting problems are compared. The compari...
This is a theoretical study of the Least Absolute Deviations (LAD) fits. In the first part, fundamen...
The least absolute deviation or L1 method is a widely known alternative to the classical least squar...
Algorithm for the exact solution of the problem of estimating the parameters of linear regression mo...
This study aims to create a computer program designed to apply the principle of curve fitting using ...
This study aims to create a computer program designed to apply the principle of curve fitting using ...
When estimating a performance measure ∗ of a complex system from noisy data, the underlying function...
When estimating a performance measure ∗ of a complex system from noisy data, the underlying function...
We propose a least absolute deviation estimation method that produced a least absolute deviation est...
For its simplicity and elegant theoretical properties, Least Squares (LS) regression has been used a...
Asymptotic methods for testing linear hypotheses based on the L1-norm regression estimator have been...
In this section some aspects of linear statistical models or regression models will be reviewed. Top...
We develop a unified L1-based analysis-of-variance-type method for testing linear hypotheses. Like t...
Least absolute deviation (LAD) regression is an important tool used in numerous applications through...
A least-squares method for calculating coefficients from a linear differential equation directly fro...
Seven computerprograms for non-linear regression or curve fitting problems are compared. The compari...
This is a theoretical study of the Least Absolute Deviations (LAD) fits. In the first part, fundamen...
The least absolute deviation or L1 method is a widely known alternative to the classical least squar...
Algorithm for the exact solution of the problem of estimating the parameters of linear regression mo...
This study aims to create a computer program designed to apply the principle of curve fitting using ...
This study aims to create a computer program designed to apply the principle of curve fitting using ...
When estimating a performance measure ∗ of a complex system from noisy data, the underlying function...
When estimating a performance measure ∗ of a complex system from noisy data, the underlying function...
We propose a least absolute deviation estimation method that produced a least absolute deviation est...
For its simplicity and elegant theoretical properties, Least Squares (LS) regression has been used a...
Asymptotic methods for testing linear hypotheses based on the L1-norm regression estimator have been...
In this section some aspects of linear statistical models or regression models will be reviewed. Top...
We develop a unified L1-based analysis-of-variance-type method for testing linear hypotheses. Like t...
Least absolute deviation (LAD) regression is an important tool used in numerous applications through...
A least-squares method for calculating coefficients from a linear differential equation directly fro...
Seven computerprograms for non-linear regression or curve fitting problems are compared. The compari...