A Test of Sphericity for High-Dimensional Data and Its Application for Detection of Divergently Spiked Noise

Sequential Analysis - United States
doi 10.1080/07474946.2018.1548850
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Informa UK Limited

Related search

Outlier Detection for High-Dimensional Data

Biometrika
StatisticsProbabilityUncertaintyApplied MathematicsBiological SciencesAgriculturalMathematics
2015English

A Statistical Technique for High Amplitude Noise Detection: Application to Swell Noise Attenuation

2008English

Asymptotics of Eigenstructure of Sample Correlation Matrices for High-Dimensional Spiked Models

Statistica Sinica
UncertaintyStatisticsProbability
2021English

Spiked Eigenvalues of High-Dimensional Separable Sample Covariance Matrices

SSRN Electronic Journal
2019English

Test for High-Dimensional Correlation Matrices

Annals of Statistics
UncertaintyStatisticsProbability
2019English

The Discretization Algorithm for Rough Data and Its Application to Intrusion Detection

Journal of Networks
2014English

Normal Form for High-Dimensional Nonlinear System and Its Application to a Viscoelastic Moving Belt

Abstract and Applied Analysis
Applied MathematicsAnalysis
2014English

Outlier Ensembles: A Robust Method for Damage Detection and Unsupervised Feature Extraction From High-Dimensional Data

Journal of Sound and Vibration
Mechanics of MaterialsAcousticsUltrasonicsCondensed Matter PhysicsMechanical Engineering
2019English

A Method for Voltage Noise Measurement and Its Application to Primary Batteries

Journal of the Electrochemical Society
SurfacesCondensed Matter PhysicsOpticalElectrochemistrySustainabilityMaterials ChemistryMagnetic MaterialsRenewable EnergyFilmsCoatingsElectronicthe Environment
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy