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Discriminant Analysis Using Least Absolute Deviations [PDF]

open access: yesDecision Sciences, 1990
ABSTRACTSeveral linear programming methods have been suggested as discrimination procedures. A least absolute deviations regression procedure is developed here which is simpler to use and does not suffer from any lack of invariance. A simulation study shows it to be at least as effective as any of the methods previously discussed for normal and heavy ...
Chau‐Kwor Lee, J. Keith Ord
openaire   +1 more source

Do Income Constraints Inhibit Spending on Fruits and Vegetables among Low-Income Households?

open access: yesJournal of Agricultural and Resource Economics, 2003
This study assesses whether income constraints inhibit spending on fruits and vegetables among low-income households. If this is the case, then it is hypothesized that the distribution of expenditures on fruits and vegetables by low-income households ...
Hayden Stewart   +2 more
doaj   +1 more source

Combination of Ensembles of Regularized Regression Models with Resampling-Based Lasso Feature Selection in High Dimensional Data

open access: yesMathematics, 2020
In high-dimensional data, the performances of various classifiers are largely dependent on the selection of important features. Most of the individual classifiers with the existing feature selection (FS) methods do not perform well for highly correlated ...
Abhijeet R Patil, Sangjin Kim
doaj   +1 more source

RobPer: An R Package to Calculate Periodograms for Light Curves Based on Robust Regression

open access: yesJournal of Statistical Software, 2016
An important task in astroparticle physics is the detection of periodicities in irregularly sampled time series, called light curves. The classic Fourier periodogram cannot deal with irregular sampling and with the measurement accuracies that are ...
Anita M. Thieler   +2 more
doaj   +1 more source

Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts

open access: yesEnergies, 2020
In the last three decades the vast majority of electricity price forecasting (EPF) research has concerned day-ahead markets. However, the rapid expansion of renewable generation—mostly wind and solar—have shifted the focus to intraday markets, which can ...
Grzegorz Marcjasz   +2 more
doaj   +1 more source

Integrating Statistical Evidence and Legal Theory to Challenge the Selection of Grand and Petit Jurors [PDF]

open access: yes, 1983
A defendeant charged with a federal or state crime may employ statistical evidence to challenge the selection of the grand jury that indicts him or the petit jury that tries and convicts him.
Beale, Sara Sun
core   +5 more sources

A calibration method of robot kinematic parameters by drawstring displacement sensor

open access: yesInternational Journal of Advanced Robotic Systems, 2019
Calibration of robot kinematic parameters can effectively improve the absolute positioning accuracy of the end-effector for industrial robots. This article proposes a calibration method for robot kinematic parameters based on the drawstring displacement ...
Yahui Gan, Jinjun Duan, Xianzhong Dai
doaj   +1 more source

A numerical fit of analytical to simulated density profiles in dark matter haloes [PDF]

open access: yes, 2005
Analytical and geometrical properties of generalized power-law (GPL) density profiles are investigated in detail. In particular, a one-to-one correspondence is found between mathematical parameters and geometrical parameters.
Caimmi, R., Marmo, C., Valentinuzzi, T.
core   +4 more sources

ALGORITHMS FOR CONSTRUCTING A REGRESSION LINEAR WITH RESPECT TO UNKNOWN COEFFICIENTS ON A LIMITED AMOUNT OF EXPERIMENTAL DATA

open access: yesВісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
This publication continues the series of scientific works of the authors on the creation of algorithms for constructing multivariate regressions which are linear with respect to unknown coefficients by using linear programming models.
Alexander Pavlov, Anton Kushch
doaj   +1 more source

High-dimensional multivariate autoregressive model estimation of human electrophysiological data using fMRI priors

open access: yesNeuroImage, 2023
Multivariate autoregressive (MVAR) model estimation enables assessment of causal interactions in brain networks. However, accurately estimating MVAR models for high-dimensional electrophysiological recordings is challenging due to the extensive data ...
Alliot Nagle   +7 more
doaj   +1 more source

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