Results 31 to 40 of about 4,362,963 (201)

The effect of calibration errors on the accuracy of the eye movement recordings

Journal of Eye Movement Research, 2008
For calibrating eye movement recordings, a regression between spatially defined calibration points and corresponding measured raw data is performed.
Jörg Hoormann, Stephanie Jainta, Wolfgang Jaschinski   +2 more
doaj   +1 more source

On the behaviour of residual plots in robust regression [PDF]

, 1993
The behaviour of residual plots in robust regression might be distorted by the bias of theı corresponding robust estimator.
Velilla Cerdan, Santiago
core   +1 more source

Robust, Adaptive Functional Regression in Functional Mixed Model Framework [PDF]

, 2011
Functional data are increasingly encountered in scientific studies, and their high dimensionality and complexity lead to many analytical challenges.
Morris, Jeffrey S., Hongxiao Zhu, Zhu, Hongxiao, Philip J. Brown, Jeffrey S. Morris, Brown, Philip J.   +5 more
core   +1 more source

Testing the Equality of Two Parametric Quantile Regression Curves : The Application for Comparing Two Data Sets [PDF]

, 2016
This study aims to  compare the different between two data sets that having the relationship between the dependent and independent variables at each quantile using  testing the equality of  two parametric quantile regression functions, the conditional ...
Tonggumnead, Unchalee; Faculty of Science and Technology, Rajamangala University of Technology Thanyaburi, 39 Moo1, Rangsit-Nakhonnayok Rd. Klong6, Thanyaburi, Pathum Thani 12110Thailand
core   +1 more source

An Efficient Estimation and Classification Methods for High Dimensional Data Using Robust Iteratively Reweighted SIMPLS Algorithm Based on nu-Support Vector Regression

IEEE Access, 2021
The statistically inspired modification of the partial least squares (SIMPLS) is the most commonly used algorithm to solve a partial least squares regression problem when the number of explanatory variables ( $p$ ) is larger than the sample size ( $n$ ).
Abdullah Mohammed Rashid, Habshah Midi, Waleed Dhhan Slwabi, Jayanthi Arasan   +3 more
doaj   +1 more source

Impact of MPC Embedded Performance Index on Control Quality

IEEE Access, 2021
Model Predictive Control (MPC) is a well-established advanced process control technology. There are many successful implementations of different predictive strategies in process industry.
Pawel D. Domanski, Maciej Lawrynczuk
doaj   +1 more source

Robust Regularized Kernel Regression

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual form, which is then solved by some quadratic program solver consequently.
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu   +2 more
openaire   +4 more sources

Likelihood-based Imprecise Regression [PDF]

, 2011
We introduce a new approach to regression with imprecisely observed data, combining likelihood inference with ideas from imprecise probability theory, and thereby taking different kinds of uncertainty into account.
Marco E. G. V. Cattaneo, Cattaneo, Marco E.G.V., Wiencierz, Andrea, Cattaneo, Marco E. G. V., Andrea Wiencierz   +4 more
core   +1 more source

A Hybrid Machine Learning and Regression Approach for Validating a Multi-Dimensional Crime Index in the Context of Crime Against Women

IEEE Access
Violence targeting women has endured since ancient times, encompassing a spectrum of offenses ranging from psychological anguish to physical and sexual assault.
Poonam K. Saravag, B. Rushi Kumar
doaj   +1 more source

Huber Regression Analysis with a Semi-Supervised Method

Mathematics, 2022
In this paper, we study the regularized Huber regression algorithm in a reproducing kernel Hilbert space (RKHS), which is applicable to both fully supervised and semi-supervised learning schemes.
Yue Wang, Baobin Wang, Chaoquan Peng, Xuefeng Li, Hong Yin   +4 more
doaj   +1 more source