Exploratory factor analysis (EFA) is a very common tool used in the social sciences to identify the underlying latent structure for a set of observed measurements.
W. Holmes Finch
doaj +1 more source
Estimasi Nonlinear Least Trimmed Squares (NLTS) pada Model Regresi Nonlinier yang Dikenai Outlier
Constant Elasticity of Substitution (CES) production function is the intrinsic nonlinear regression models that are often used to estimate the data in an industry.
Nur Laili Arofah, Sri Harini
doaj +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Robust Negative Binomial Regression via the Kibria–Lukman Strategy: Methodology and Application
Count regression models, particularly negative binomial regression (NBR), are widely used in various fields, including biometrics, ecology, and insurance.
Adewale F. Lukman +5 more
doaj +1 more source
Robust Estimators for the Correlation Measure to Resist Outliers in Data
The objective of this research was to propose a composite correlation coefficient to estimate the rank correlation coefficient of two variables. A simulation study was conducted using 228 situations for a bivariate normal distribution to compare the ...
Juthaphorn Sinsomboonthong
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Association Between Motor Pathway Damage and Motor Deficit in Upper and Lower Limb in People With MS
ABSTRACT Objective Corticospinal tract damage is common in people with MS, but the degree of clinical symptoms varies. We hypothesize that corticospinal tract lesions are more extensive and severe in people with MS with motor impairments in both upper and lower limbs.
Mathilde Liffran +13 more
wiley +1 more source
A Student’s t Mixture Probability Hypothesis Density Filter for Multi-Target Tracking with Outliers
In multi-target tracking, the outliers-corrupted process and measurement noises can reduce the performance of the probability hypothesis density (PHD) filter severely.
Zhuowei Liu +4 more
doaj +1 more source
MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru +13 more
wiley +1 more source
A note on outlier-prone and outlier-resistant distributions
\textit{J. Neyman} and \textit{E. L. Scott} [Optimizing Meth. Stat., Proc. Symp. Ohio State Univ., 413-430 (1971; Zbl 0259.62044)] have considered the ideas of outlier-proneness and outlier-resistance of families of distributions; on the other hand \textit{R. F. Green} [J. Am. Stat. Assoc. 71, 502-505 (1976; Zbl 0344.62016)] has considered the ideas of
openaire +2 more sources
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source

