Results 51 to 60 of about 2,313,531 (211)
Química Nova, 1997 The least square method is analyzed. The basic aspects of the method are discussed. Emphasis is given in procedures that allow a simple memorization of the basic equations associated with the linear and non linear least square method, polinomial ...
Rogério Custodio +2 more
doaj +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Retaining walls are key geotechnical components of road infrastructure, whose seismic performance directly affects the resilience of transportation networks. Despite their importance, seismic fragility models for retaining walls available in the literature refer only to specific case studies.
Amendola C., Conti R., de Silva F.
wiley +1 more source
Some robust distributions for the structural multilinear model [PDF]
, 2004 The structural approach to inference for location parameters and future responses are considered for the multilinear model with elliptical error distribution. We show that the structural and prediction distributions under elliptical errors assumption are
Ng, V.M.
core
SBP model selection using multilinear regression.
, 2018 SBP model selection using multilinear regression.
Clarence C. Gravlee (370512) +4 more
core +1 more source
Remote Sensing, 2023 Downward short-wave (SW) solar radiation is the only essential energy source powering the atmospheric dynamics, ocean dynamics, biochemical processes, and so forth on our planet. Clouds are the main factor limiting the SW flux over the land and the Ocean.
Mikhail Krinitskiy +5 more
doaj +1 more source
Multilinear Weighted Regression (MWE) with Neural Networks for trend prediction
Applied Soft Computing, 2019 The ability to define accurate linear models to find patterns or relationships between variables is one of the most challenging fields in Computer Science. In particular, extrapolative applications are widely used to predict values in Biological, Behavioral and Social Sciences.
Arteta Albert, Alberto +2 more
openaire +2 more sources
Climatic Drivers of the Area Burned by Winter Wildfires in Northern Italy
International Journal of Climatology, EarlyView.This study investigates winter wildfires occurring between November and April in northern Italy over the period 2008–2022. By integrating high‐resolution burned‐area data with gridded climatic indices derived from 150 weather stations, it identifies spatial and temporal wildfire patterns, highlights the most fire‐prone mountain areas through pixel ...
Alice Baronetti +2 more
wiley +1 more source
lina-boljka/multi-linear-regression-projection: Omrani et al 2022
, 2022 This release includes code for multilinear regression projection and data necessary as used in Omrani et al, 2022: Atlantic atmosphere-ocean multidecadal oscillation: a key for improved near-future climate projection. npj Climate and Atmospheric Science,
lina-boljka
core +1 more source
Calibration and Validation of a Measurements-Independent Model for Road Traffic Noise Assessment
Applied Sciences, 2023 The assessment of road traffic noise is very important for the health of people living in urban areas. Noise is usually assessed by field measurements, and predictive models play an important role when experimental data are not available.
Domenico Rossi +2 more
doaj +1 more source
Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Embedded feature selection is effective when both prediction and interpretation are needed. The Lasso and its extensions are standard methods for selecting a subset of features while optimizing a prediction function. In this paper, we are interested in embedded feature selection for multidimensional data, wherein (1) there is no need to
Song, X., Lu, H.
openaire +2 more sources