Results 111 to 120 of about 29,007 (279)
ANALISIS DATA INFLASI DI INDONESIA MENGGUNAKAN MODEL REGRESI SPLINE
The inflation data is one of the financial time series data that has a high volatility, so if the data is modeled with parametric models (AR, MA and ARIMA), sometimes occur problems because there was an assumption that cannot be satisfied.
Suparti Suparti
doaj +1 more source
This paper aims to predict ozone concentrations based on the effects of ultraviolet light. Spline regression is piecewise polynomials that connect join points called knots. In spline regression, parameter estimation was fit by OLS (Ordinary Least Square) method. However, the OLS method leads to over parameterized and in the plot of estimated regression
R Fitri, Y Widyaningsih, D Lestari
openaire +1 more source
Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson +7 more
wiley +1 more source
Estimasi Produksi Beras dengan Estimator Campuran Spline Truncated – Kernel di Jawa Timur
This study aims to apply a nonparametric regression model using a mixed estimator of Truncated Spline and Kernel to estimate Rice Production in East Java Province.
Andrea Tri Rian Dani +3 more
doaj +1 more source
Nonlinear associations of serum sodium levels with cardiovascular (A) and all‐cause mortality (B)among 32,837 adults. Nonlinear associations of serum potassium levels with cardiovascular (C) and all‐cause mortality (D) among 32,837 adults. ABSTRACT Background This study aimed to investigate the associations of serum sodium and potassium levels within ...
Haofeng Zhang +7 more
wiley +1 more source
Agent Teams and Evolutionary Computation: Optimizing Semi- Parametric Spatial Autoregressive Models [PDF]
Classical spatial autoregressive models share the same weakness as the classical linear regression models, namely it is not possible to estimate non-linear relationships between the dependent and independent variables.
Matthias Koch, Tamás Krisztin
core
Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Robust and parallel scalable iterative solutions for large-scale finite cell analyses
The finite cell method is a highly flexible discretization technique for numerical analysis on domains with complex geometries. By using a non-boundary conforming computational domain that can be easily meshed, automatized computations on a wide range of
D'Angella, Davide +9 more
core
Edge Fluid Turbulence Simulations of Stellarators With GRILLIX
ABSTRACT The edge fluid turbulence code GRILLIX has recently been extended from axisymmetric tokamak geometries to support 3D stellarator configurations. Following successful proof‐of‐principle simulations published in Stegmeir et al., we present here a comprehensive simulation of the Wendelstein 7‐AS stellarator.
Andreas Stegmeir +4 more
wiley +1 more source
On the linear independence of (truncated) hierarchical subdivision splines
Motivated by the necessity to perform adaptive refinement in geometric design and numerical simulation, (truncated) hierarchical generating systems for nested spaces of splinefunctions defined on domains in Rd have been recently introduced. Their linear independence can be guaranteed with the help of the local linear independence of the spline basisat ...
Zore, U, Jüttler, B, Kosinka, Jiri
openaire +1 more source

