Mahalanobis distance and its application for detecting multivariate outliers

H Ghorbani - Facta Universitatis, Series: Mathematics and …, 2019 - casopisi.junis.ni.ac.rs
While methods of detecting outliers is frequently implemented by statisticians when
analyzing univariate data, identifying outliers in multivariate data pose challenges that …

Distance-based outlier detection for high dimension, low sample size data

J Ahn, MH Lee, JA Lee - Journal of Applied Statistics, 2019 - Taylor & Francis
Despite the popularity of high dimension, low sample size data analysis, there has not been
enough attention to the sample integrity issue, in particular, a possibility of outliers in the …

Text-independent speaker identification using robust statistics estimation

M El Ayadi, AKSO Hassan, A Abdel-Naby… - Speech …, 2017 - Elsevier
It is well-known that the performance of Gaussian mixture model-based text-independent
speaker identification systems deteriorates significantly with the presence of noise and …

Impact of reduced sampling frequency of illicit drug wastewater monitoring in the Netherlands

RPJ Hoondert, E Emke, E Nagelkerke, E Roex… - Science of The Total …, 2024 - Elsevier
Drug consumption estimates are traditionally based on surveys or information from police
seizures. Alternatively, residues of illicit drugs in untreated wastewater (influent) can be used …

Improved spatial outlier detection method within a river network

NF Mohd Ali, R Mohamad Yunus, I Mohamed… - Sains …, 2022 - eprints.um.edu.my
A spatial outlier refers to the observation whose non-spatial attribute values are significantly
different from those of its neighbors. Such observations can also be found in water quality …

Evaluation of outlier detection method performance in symmetric multivariate distributions

E Uzabaci, I Ercan, O Alpu - Communications in Statistics …, 2020 - Taylor & Francis
Determining outliers is more complicated in multivariate data sets than it is in univariate
cases. The aim of this study is to evaluate the blocked adaptive computationally efficient …

Robust modified classical spherical tests in the presence of outliers

LL Campos, DF Ferreira - Statistical Papers, 2022 - Springer
This paper verifies if the classical test to sphericity hypotheses with homogeneous variances
equal to one and null covariances is applicable for cases in the presence of outliers based …

[PDF][PDF] Empirical robust multivariate regression parameter estimation using median approach

OK Sajana, T ASajesh - Int. J. Sci. Res. in Mathematical …, 2018 - pdfs.semanticscholar.org
Accepted: 14/Oct/2018, Online: 31/Oct/2018 Abstract—Main purpose of multivariate
regression analysis is the estimation of model parameters. The use of maximum likelihood …

Estudio de parámetros ambientales utilizando técnicas espectroscópicas, datos meteorológicos y métodos estadísticos

G Ratto - 2016 - sedici.unlp.edu.ar
La ciudad de La Plata y alrededores (ubicada en el Estuario del Río de La Plata en
Sudamérica) es una de las seis urbes más pobladas de la Argentina (alrededor de 800 000 …

Improved Spatial Outlier Detection Method Within a River Network (Kaedah Pengesanan Pencilan Reruang DiPerbaik dalam Suatu Jaringan Sungai)

NFM Ali, RM Yunus, I Mohamed, F Othman - Sains Malaysiana, 2022 - ukm.edu.my
A spatial outlier refers to the observation whose non-spatial attribute values are significantly
different from those of its neighbors. Such observations can also be found in water quality …