Results 61 to 70 of about 316,989 (242)

Statistics of extremes through m-component distribution [PDF]

, 1993
Cet article presente un modèle probabiliste à composantes multiples en s'appuyant sur l'analyse des chroniques de crues mesurées sur 19 rivières du sud de l'Italie.
Colosimo, C., Mendicino, G., Rendong, G.
core  

Statistical entropy of near extremal fivebranes [PDF]

Nuclear Physics B, 1996
8 pages, uses ...
openaire   +3 more sources

Validation of the Pediatric Arthritis Ultrasound Scoring System for the Elbow, Wrist, and Finger Joints in Children With Juvenile Idiopathic Arthritis

Arthritis Care &Research, EarlyView.
Objective We aimed to validate the Pediatric Arthritis Ultrasound Scoring System (PAUSS) for upper extremity joints in children with juvenile idiopathic arthritis (JIA). Methods Children with JIA were evaluated for elbow, wrist, or finger arthritis by clinical examination (CE) and musculoskeletal ultrasound (MSUS) with images scored according to the ...
Patricia Vega‐Fernandez, Pinar Ozge Avar‐Aydin, Kelly Rogers, Daniel J. Lovell, Jennifer Huggins, Alexei Grom, Hermine I. Brunner, Grant S. Schulert, Sheila T. Angeles‐Han, Mekibib Altaye, Amy Cassedy, Arthur B. Meyers, Tracy V. Ting   +12 more
wiley   +1 more source

Bias correction in multivariate extremes

, 2014
The estimation of the extremal dependence structure is spoiled by the impact of the bias, which increases with the number of observations used for the estimation.
de Haan, Laurens, Fougères, Anne-Laure, Mercadier, Cécile   +2 more
core   +2 more sources

Association Between Symptomatic Knee Osteoarthritis and Target Glycemic Control in Individuals with Type 2 Diabetes

Arthritis Care &Research, Accepted Article.
Objective Knee osteoarthritis (OA) commonly affects individuals with Type 2 diabetes (T2DM) and is associated with increased risk of diabetes‐related complications. To better understand potential mechanisms, we examined the association between symptomatic knee OA and glycemic control in individuals with T2DM.
Lauren K. King, Alanna Weisman, Baiju R. Shah, Robert Goldberg, Amish Parikh, Ian Stanaitis, Vivian Hung, Rosane Nisenbaum, Abdalmohsen Almodahka, Lorraine Lipscombe, Gillian A. Hawker   +10 more
wiley   +1 more source

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

The luminosities of the brightest cluster galaxies and brightest satellites in SDSS groups

, 2012
We show that the distribution of luminosities of Brightest Cluster Galaxies in an SDSS-based group catalog suggests that BCG luminosities are just the statistical extremes of the group galaxy luminosity function.
Aseem Paranjape, Bautz, Berlind, Bernardi, Bernardi, Bhavsar, Blanton, Cooray, De Lucia, Dobos, Hansen, Hubble, Lin, Loh, Milosavljević, Ravi K. Sheth, Sandage, Schechter, Scott, Sheth, Sheth, Skibba, Tremaine, Yang, Zehavi, Zehavi   +25 more
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Bayesian threshold selection for extremal models using measures of surprise [PDF]

, 2014
Statistical extreme value theory is concerned with the use of asymptotically motivated models to describe the extreme values of a process. A number of commonly used models are valid for observed data that exceed some high threshold.
Fan, Y., Lee, J., Sisson, S. A.
core