Results 41 to 50 of about 1,589,421 (354)

Heat Kernels, Smoothness Estimates, and Exponential Decay [PDF]

open access: yesJournal of Fourier Analysis and Applications, 2012
25 ...
Boggess, Albert, Raich, Andrew
openaire   +2 more sources

Design of Computational Models for Hydroturbine Units Based on a Nonparametric Regression Approach with Adaptation by Evolutionary Algorithms

open access: yesComputation, 2021
This article deals with the problem of designing regression models for evaluating the parameters of the operation of complex technological equipment—hydroturbine units.
Vladimir Viktorovich Bukhtoyarov   +1 more
doaj   +1 more source

Solving 2D Poisson-type equations using meshless SPH method

open access: yesResults in Physics, 2019
In the present study, 2D Poisson-type equation is solved by a meshless Symmetric Smoothed Particle Hydrodynamics (SSPH) method. The influence of the kernel function, smoothing length and particle discretizations of problem domain on the solutions of ...
Shuai Liu   +6 more
doaj   +1 more source

Effects of Smoothing Functions in Cosmological Counts-in-Cells Analysis [PDF]

open access: yes, 2006
A method of counts-in-cells analysis of galaxy distribution is investigated with arbitrary smoothing functions in obtaining the galaxy counts. We explore the possiblity of optimizing the smoothing function, considering a series of $m$-weight Epanechnikov
Matsubara, Takahiko, Murata, Yoshitaka
core   +3 more sources

Signal Estimation Using Wavelet Analysis of Solution Monitoring Data for Nuclear Safeguards

open access: yesAxioms, 2013
Wavelets are explored as a data smoothing (or de-noising) option for solution monitoring data in nuclear safeguards. In wavelet-smoothed data, the Gibbs phenomenon can obscure important data features that may be of interest.
Tom Burr, Claire Longo
doaj   +1 more source

Nonparametric Kernel Smoothing Methods. The sm library in Xlisp-Stat

open access: yesJournal of Statistical Software, 2001
In this paper we describe the Xlisp-Stat version of the sm library, a software for applying nonparametric kernel smoothing methods. The original version of the sm library was written by Bowman and Azzalini in S-Plus, and it is documented in their book ...
Luca Scrucca
doaj   +3 more sources

UJI KOEFISIEN VARIANSI KONSTAN DALAM REGRESI NONPARAMETRIK

open access: yesInfinity, 2015
ABSTRAK Tulisan ini membahas uji baru untuk hipotesis koefisien variansi konstan dalam model umum regresi nonparametrik. Uji ini didasarkan pada estimasi jarak antara kuadrat dari fungsi regresi dan fungsi varians.
Asri Ode Samura
doaj   +1 more source

A Note on Nonparametric Estimation of Conditional Hazard Quantile Function [PDF]

open access: yesJournal of Risk Analysis and Crisis Response (JRACR), 2017
In this paper, we study an kernel estimator of the conditional hazard quantile function (CHQF) of a scalar response variable Y given a random variable (rv) X taking values in a semi-metric space and using the proposed estimator based of the kernel ...
El Hadj Hamel, Nadia Kadiri, Abbes Rabhi
doaj   +1 more source

Directional Bilateral Filters

open access: yes, 2014
We propose a bilateral filter with a locally controlled domain kernel for directional edge-preserving smoothing. Traditional bilateral filters use a range kernel, which is responsible for edge preservation, and a fixed domain kernel that performs ...
Seelamantula, Chandra Sekhar   +1 more
core   +1 more source

Kernel Estimation for Panel Data with Heterogeneous Dynamics

open access: yes, 2018
This paper proposes nonparametric kernel-smoothing estimation for panel data to examine the degree of heterogeneity across cross-sectional units. We first estimate the sample mean, autocovariances, and autocorrelations for each unit and then apply kernel
Okui, Ryo, Yanagi, Takahide
core   +1 more source

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