Results 81 to 90 of about 15,002 (270)

On the Flexible Neo-Normal MSAR MSN-Burr Control Chart in Air Quality Monitoring

Air, Soil and Water Research
Air quality significantly influences human health and the environment, necessitating a robust monitoring to detect abnormalities. This paper aims to develop a new model to accurately capture air quality data’s structural changes and asymmetrical patterns.
Dwilaksana Abdullah Rasyid, Nur Iriawan, Muhammad Mashuri   +2 more
doaj   +1 more source

Composition‐Tuned Enhancement of the Anomalous Nernst Effect in FeCo–Pt Thin Films on Rigid and Flexible Substrates

Advanced Engineering Materials, EarlyView.
Disordered (Fe50Co50)1−xPtx thin films exhibit a pronounced anomalous Nernst effect (ANE) with a strong composition dependence on both rigid and flexible substrates. The transverse thermoelectric response peaks near 22.5 at.% Pt, accompanied by enhanced αxy/σxy scaling, thermal transport, and ANE sensitivity.
Mojtaba Mohammadi, Hiroyuki Awano, Kenji Tanabe   +2 more
wiley   +1 more source

LONG-TERM VOLATILITY DYNAMICS OF THE GERMAN STOCK MARKET : INSIGHTS FROM TWO DECADES OF DAILY RETURNS [PDF]

Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
This study provides an empirical analysis of the volatility dynamics of the Deutscher Aktienindex (DAX) stock index over a 20-year period based on daily observations, specifically from January 2, 2006, to March 20, 2026.
SHAHIL RAZA , AMAN SHREEVASTAVA , BHARAT KUMAR MEHER, BIRAU RAMONA, POPESCU VIRGIL , ROSHAN KUMAR YADAV , LUPU (FILIP) GABRIELA ANA MARIA   +6 more
doaj  

Skewed t-Student copula function : skewed dependence modelling

, 2018
Orientador: Luiz Koodi HottaDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação CientificaResumo: A família de distribuições t-Student Assimétrica, construída a partir da mistura em média e ...
Busato, Erick Andrade
core  

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

On the Student-t Mixture Inverse Gaussian Modelwith an Application to Protein Production Sobre el modelo gaussiano inverso mezclado t-Student y una aplicaci'{o}n a producci'{o}n de prote'{i}nas

Revista Colombiana de Estadística, 2011
In this article, we introduce a mixture inverse Gaussian (MIG) model based on the Student-t distribution and apply it to bacterium-based protein production for food industry.
ANTONIO SANHUEZA, VÍCTOR LEIVA, LILIANA LÓPEZ-KLEINE   +2 more
doaj  

Threshold-Dependent Dominance in Tail Risk Approximation

Econometrics
Regulatory risk measurement under Basel III’s Fundamental Review of the Trading Book places Expected Shortfall (ES) at the center of market risk capital, yet the fourth-order Edgeworth expansion, still widely used for Value-at-Risk (VaR) and ES ...
Terence D. Agbeyegbe
doaj   +1 more source

Influence of Si Content and Milling Duration on the Microstructure and Mechanical–Tribological Properties of AlCoCrFeNiSi High‐Entropy Alloys

Advanced Engineering Materials, EarlyView.
Si‐doped AlCoCrFeNi high‐entropy alloys are synthesized by mechanical alloying to reveal the effect of Si content and milling time on phase evolution, microstructural refinement, and tribological behavior. A transition from FCC to BCC structure, significant grain refinement, and enhanced hardness and wear resistance are achieved, with the 4 at% Si ...
Mustafa Okumuş, Mehmet Emin Demir, Sercan Özpınar   +2 more
wiley   +1 more source

Bayesian predictive densities as an interpretation of a class of Skew--Student $t$ distributions with application to medical data

, 2018
This paper describes a new Bayesian interpretation of a class of skew--Student $t$ distributions. We consider a hierarchical normal model with unknown covariance matrix and show that by imposing different restrictions on the parameter space, corresponding Bayes predictive density estimators under Kullback-Leibler loss function embrace some well-known ...
openaire   +2 more sources

ON THE STUDENT-T MIXTURE INVERSE GAUSSIAN MODEL WITH AN APPLICATION TO PROTEIN PRODUCTION SOBRE EL MODELO GAUSSIANO INVERSO MEZCLADO T-STUDENT Y UNA APLICACIÓN A PRODUCCIÓN DE PROTEÍNAS

Revista Colombiana de Estadística, 2011
In this article, we introduce a mixture inverse Gaussian (MIG) model based on the Student-t distribution and apply it to bacterium-based protein production for food industry.
Sanhueza Antonio, Leiva Víctor, López-Kleine Liliana   +2 more
doaj