Results 31 to 40 of about 22,874 (259)

Local kernel nonparametric discriminant analysis for adaptive extraction of complex structures

Open Physics, 2017
The linear discriminant analysis (LDA) is one of popular means for linear feature extraction. It usually performs well when the global data structure is consistent with the local data structure.
Li Quanbao, Wei Fajie, Zhou Shenghan
doaj   +1 more source

Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments

BMC Bioinformatics, 2005
Background Numerous nonparametric approaches have been proposed in literature to detect differential gene expression in the setting of two user-defined groups.
Song Peter XK, Gao Xin
doaj   +1 more source

Stacked survival models for residual lifetime data

BMC Medical Research Methodology, 2022
When modelling the survival distribution of a disease for which the symptomatic progression of the associated condition is insidious, it is not always clear how to measure the failure/censoring times from some true date of disease onset.
James H. McVittie, David B. Wolfson, Vittorio Addona, Zhaoheng Li   +3 more
doaj   +1 more source

SAS/IML Macros for a Multivariate Analysis of Variance Based on Spatial Signs

Journal of Statistical Software, 2006
Recently, new nonparametric multivariate extensions of the univariate sign methods have been proposed. Randles (2000) introduced an affine invariant multivariate sign test for the multivariate location problem. Later on, Hettmansperger and Randles (2002)
Jaakko Nevalainen, Hannu Oja
doaj   +3 more sources

Statistical testing frameworks for process efficiency and variability management [PDF]

Journal of Applied Research on Industrial Engineering
This study explores the comparative efficacy of parametric and nonparametric statistical tests in analyzing clinical metrics, specifically weight (Peso (Kg)), height (H), and Body Mass Index (BMI (kg/m²)) for Glucagon-like Peptide-1 (GLP1) and Sodium ...
Seyed Azimi, Saba Mirzaeian Aghamahalli, Rajabali Ghassempour, Mahyar Nezhadkian, Shu-Chuan Chen   +4 more
doaj   +1 more source

Robustness in Bayesian nonparametrics

International Journal of Approximate Reasoning, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

On the existence of solutions to adversarial training in multiclass classification

European Journal of Applied Mathematics
Adversarial training is a min-max optimization problem that is designed to construct robust classifiers against adversarial perturbations of data. We study three models of adversarial training in the multiclass agnostic-classifier setting.
Nicolás García Trillos, Matt Jacobs, Jakwang Kim   +2 more
doaj   +1 more source

The Local Linear M-Estimation with Missing Response Data

Journal of Applied Mathematics, 2014
This paper studies the nonparametric regressive function with missing response data. Three local linear M-estimators with the robustness of local linear regression smoothers are presented such that they have the same asymptotic normality and consistency.
Shuanghua Luo, Cheng-Yi Zhang, Fengmin Xu   +2 more
doaj   +1 more source

Empirical-Likelihood-Based Inference for Partially Linear Models

Mathematics
Partially linear models find extensive application in biometrics, econometrics, social sciences, and various other fields due to their versatility in accommodating both parametric and nonparametric elements.
Haiyan Su, Linlin Chen
doaj   +1 more source

Design and application of a robust multivariate control chart for gas PE pipe production [PDF]

MATEC Web of Conferences
In the production of gas polyethylene (PE) pipelines, quality characteristics such as ovality, outer diameter, and wall thickness often exhibit unknown distributions and complex inter-variable correlations. Traditional parametric control charts are prone
Ye Fan, Zhou Juan, Wang Qiang, Zhang Weijiao, Zhang Zuoyuan, Zhou Haiting, Chen Xiangliang   +6 more
doaj   +1 more source