Results 121 to 130 of about 343,541 (352)
MENGATASI PENCILAN PADA PEMODELAN REGRESI LINEAR BERGANDA DENGAN METODE REGRESI ROBUST PENAKSIR LMS
Barekeng, 2019 Ordinary Least Squares (OLS) is frequent used method for estimating parameters. OLS estimator is not a robust regression procedure for the presence of outliers, so the estimate becomes inappropriate.
Farida Daniel
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To (1) validate GAD65‐ELISA detection and quantification for type 1 diabetes mellitus and autoimmune neurological diagnoses, (2) correlate ELISA results (reference range < 5 IU/mL) with established radioimmunoprecipitation assay (RIA; ≤ 0.02 nmol/L), and (3) define ELISA clinical utility and pitfalls.
Andrew McKeon +11 more
wiley +1 more source
Mahmoud-GIsmail/Outlier-Detection-for-Keystroke-Dynamics: Published version
<p>Release Details - Version 1.0.0 Overview Introducing an innovative approach to keystroke dynamics-based authentication using Histogram-Based Outlier Score (HBOS), reducing reliance on imposter data and addressing real-world challenges.</p>
Mahmoud Gamal
core +1 more source
Outlier detection in multivariate time series via projection pursuit [PDF]
, 2004 This article uses Projection Pursuit methods to develop a procedure for detecting outliers in a multivariate time series. We show that testing for outliers in some projection directions could be more powerful than testing the multivariate series directly.
Peña, Daniel +2 more
core
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
IEEE Access, 2019 Feature matching, which refers to the establishment of accurate correspondence between two sets of feature points, plays an important role in the field of computer vision and remote sensing.
Jun Chen +4 more
doaj +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
, 2016 In this paper, we propose a scalable yet accurate grid-based outlier detection method called GO-PEAS (stands for Grid-based Outlier detection with Pruning Searching techniques).
Liang Chang +9 more
core +1 more source
The use of hermite special functions for investigation of power properties of grubbs statistics
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2012 We consider a normal sample with a single upper outlier. A distribution of studentized form of outlier’s deviation from the sample mean is obtained. This distribution uses Hermite special functions with negative integer-valued index.
Ludmila K Shiryaeva
doaj