Results 61 to 70 of about 3,403,709 (354)
Analysis of interval‐grouped data in weed science: The binnednp Rcpp package
Ecology and Evolution, 2019 Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT).
Daniel Barreiro‐Ures +6 more
doaj +1 more source
Bandwidth selection: classical or plug-in?
The Annals of Statistics, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
Advanced Engineering Materials, EarlyView.This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian +4 more
wiley +1 more source
Asymptotic normality of local linear regression estimator for mixtures with varying concentrations
Modern Stochastics: Theory and ApplicationsFinite mixtures with different regression models for different mixture components naturally arise in statistical analysis of biological and sociological data. In this paper a model of mixtures with varying concentrations is considered in which the mixing
Daniel Horbunov, Rostyslav Maiboroda
doaj +1 more source
Bandwidth Selection in Nonparametric Regression with Large Sample Size
Proceedings, 2018 In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias and ...
Daniel Barreiro-Ures +2 more
doaj +1 more source
Bandwidth selection for smooth backfitting in additive models
, 2005 The smooth backfitting introduced by Mammen, Linton and Nielsen [Ann. Statist. 27 (1999) 1443-1490] is a promising technique to fit additive regression models and is known to achieve the oracle efficiency bound.
Mammen, Enno, Park, Byeong U.
core +2 more sources
Robust variable selection in partially varying coefficient single-index model [PDF]
, 2015 By combining basis function approximations and smoothly clipped absolute deviation (SCAD) penalty, this paper proposes a robust variable selection procedure for a partially varying coefficient single-index model based on modal regression.
Deng, C, Lv, Z, Yu, K, Zhu, H
core +1 more source
Bandwidth Selection for Kernel Density Estimation
The Annals of Statistics, 1991 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Bandwidth Selection for Local Linear Regression Smoothers
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2002 SummaryThe paper presents a general strategy for selecting the bandwidth of nonparametric regression estimators and specializes it to local linear regression smoothers. The procedure requires the sample to be divided into a training sample and a testing sample. Using the training sample we first compute a family of regression smoothers indexed by their
Hengartner, Nicolas W. +2 more
openaire +1 more source
Screen‐Printed Flexible Piezoelectric Force Sensor Array with Electromagnetic Interference Shielding
Advanced Engineering Materials, EarlyView.This article introduces a flexible screen‐printed piezoelectric sensor array designed for low‐frequency healthcare applications such as tactile sensing and cardiovascular monitoring. The device integrates interface electronics enabling the simultaneous acquisition of up to 128 signals, along with flexible EMI shielding that significantly reduces noise ...
Joseph Faudou +6 more
wiley +1 more source