Results 51 to 60 of about 70,459 (296)

Nonparametric Smoothing Spline Approach in Examining Investor Interest Factors

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika)
The nonparametric approach is an appropriate approach for patterns of relationships between predictor variables and response variables that are not or have not been known in form.
Yossy Maynaldi Pratama   +3 more
doaj   +1 more source

Smoothing Splines and Shape Restrictions [PDF]

open access: yesScandinavian Journal of Statistics, 1999
Constrained smoothing splines are discussed under order restrictions on the shape of the function m. We consider shape constraints of the type m(r)≥ 0, i.e. positivity, monotonicity, convexity, .... (Here for an integer r≥ 0, m(r) denotes the rth derivative of m.) The paper contains three results: (1) constrained smoothing splines achieve optimal rates
Mammen, Enno, Thomas-Agnan, Christine
openaire   +4 more sources

Phase Diagrams and Piezoelectric Properties of Wurtzite Al1−x−yScxGdyN Heterostructural Alloys

open access: yesAdvanced Science, EarlyView.
This study demonstrates ferroelectricity and piezoelectric properties improvement of quaternary wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films, guided by density functional theory calculations. Wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films have a high optical bandgap, enhanced piezoelectric ...
Julia L. Martin   +11 more
wiley   +1 more source

An Algorithm for Restoring a Function from Different Functionals for Predicting Rare Events in the Economy

open access: yesФинансы: теория и практика, 2022
This paper aims to restore some parameters of functionals using cubic splines to forecast rare events in finance and economics. The article considers the mathematical method for recovering an unknown function from many different functionals, such as the ...
Yu. A. Korablev
doaj   +1 more source

Estimation of noisy cubic spline using a natural basis [PDF]

open access: yes, 2014
We define a new basis of cubic splines such that the coordinates of a natural cubic spline are sparse. We use it to analyse and to extend the classical Schoenberg and Reinsch result and to estimate a noisy cubic spline.
Dermoune, Azzouz, Preda, Cristian
core  

Control theoretic smoothing splines [PDF]

open access: yesIEEE Transactions on Automatic Control, 2000
Summary: In this paper some of the relationships between optimal control and statistics are examined. We produce generalized, smoothing splines by solving an optimal control problem for linear control systems, minimizing the \(L^2\)-norm of the control signal, while driving the scalar output of the control system close to given, prespecified ...
Shan Sun   +2 more
openaire   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

open access: yesAdvanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai   +3 more
wiley   +1 more source

A Five-Axis Toolpath Corner-Smoothing Method Based on the Space of Master–Slave Movement

open access: yesMachines
The smoothing of linear toolpaths plays is critical in improving machining quality and efficiency in five-axis CNC machining. Existing corner-smoothing methods often overlook the impact of spline curvature fluctuations, which may lead to acceleration ...
Song Gao   +4 more
doaj   +1 more source

Research on Railway Passenger Volume Forecast Based on the Spline Interpolation and IPSO-Gradient Difference Acceleration Rule

open access: yesJournal of Advanced Transportation, 2023
In order to solve the problem that the railway passenger volume data are abnormal due to holidays and major events interfering with the prediction accuracy, the spline interpolation method is introduced to replace the abnormal passenger volume data.
Dingyuan Fan   +3 more
doaj   +1 more source

Estimasi Model Regresi Spline Kubik Tersegmen dengan Metode Penalized Least Square

open access: yesAl-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam, 2022
: Nonparametric regression is used for data whose data pattern is non-parametric. One of the estimators that can be developed is a segmented cubic spline which is able to show several segmentation changes in the data.
Anna Islamiyati   +6 more
doaj   +1 more source

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