Results 21 to 30 of about 1,566,040 (193)

RegBoost: a gradient boosted multivariate regression algorithm

International Journal of Crowd Science, 2020
PurposeInspired by the basic idea of gradient boosting, this study aims to design a novel multivariate regression ensemble algorithm RegBoost by using multivariate linear regression as a weak predictor.Design/methodology/approachTo achieve nonlinearity ...
Wen Li, Wei Wang, Wenjun Huo
doaj   +1 more source

Variable selection in multivariate multiple regression.

PLoS ONE, 2020
IntroductionIn many practical situations, we are interested in the effect of covariates on correlated multiple responses. In this paper, we focus on estimation and variable selection in multi-response multiple regression models.
Asokan Mulayath Variyath, Anita Brobbey
doaj   +1 more source

ANALISIS KINERJA KARYAWAN MENGGUNAKAN MULTIVARIATE ADAPTIVE REGRESSION SPLINES

Jurnal Matematika UNAND, 2020
Kinerja karyawan merupakan indikator keberhasilan seseorang secara keseluruhan selama periode tertentu dalam melaksanakan tugas yang diberikan dibandingkan dengan standar hasil kerja yang telah ditentukan dan disepakati bersama.
ARNEZDA PUTRI, DODI DEVIANTO, MAIYASTRI MAIYASTRI   +2 more
doaj   +1 more source

Multivariate functional group sparse regression: Functional predictor selection.

PLoS ONE, 2022
In this paper, we propose methods for functional predictor selection and the estimation of smooth functional coefficients simultaneously in a scalar-on-function regression problem under a high-dimensional multivariate functional data setting.
Ali Mahzarnia, Jun Song
doaj   +1 more source

Accuracy Assessment of Charge-Mode Accelerometers Using Multivariate Regression of the Upper Bound of the Dynamic Error

Energies, 2023
This paper presents the mathematical basis and related procedures for the regression of the upper bound of the dynamic error produced by charge-mode accelerometers.
Krzysztof Tomczyk, Małgorzata Kowalczyk
doaj   +1 more source

Robust Multivariate Regression

Technometrics, 2004
We introduce a robust method for multivariate regression based on robust estimation of the joint location and scatter matrix of the explanatory and response variables. As a robust estimator of location and scatter, we use the minimum covariance determinant (MCD) estimator of Rousseeuw.
Rousseeuw, Peter, Van Aelst, Stefan, Van Driessen, Katrien, Gulló, Jose   +3 more
openaire   +3 more sources

Business performance in IT. A multivariate regression analysis [PDF]

Ovidius University Annals: Economic Sciences Series, 2022
For the analysis of the performance of IT companies in Romania we have opted for a linear regression model in which the dependent variable entitled Result, which can be either profit or loss, was explained through the influence of the following ...
Ionela Tofan, Elena Condrea
doaj  

Multivariate Frequency-Severity Regression Models in Insurance

Risks, 2016
In insurance and related industries including healthcare, it is common to have several outcome measures that the analyst wishes to understand using explanatory variables. For example, in automobile insurance, an accident may result in payments for damage
Edward W. Frees, Gee Lee, Lu Yang
doaj   +1 more source

Partitioning predictors in multivariate regression models [PDF]

, 2015
A Multivariate Regression Model Based on the Optimal Partition of Predictors (MRBOP) useful in applications in the presence of strongly correlated predictors is presented.
MARTELLA, Francesca, VICARI, Donatella, VICHI, Maurizio   +2 more
core   +1 more source

An essential tool for WRRF modelling: a realistic and complete influent generator for flow rate and water quality based on data-driven methods

Water Science and Technology, 2022
Modelling, automation, and control are widely used for water resource recovery facility (WRRF) optimization. An influent generator (IG) is a model, aiming to provide the flowrate and pollutant concentration dynamics at the inlet of a WRRF for a range of ...
Feiyi Li, Peter A. Vanrolleghem
doaj   +1 more source