Results 61 to 70 of about 120,658,700 (212)
Croatian Operational Research Review, 2010 Mostly used multivariate procedure for testing both the construct validity and theoretical relationships among a set of multiple variables is structural equation modeling.
Josip Arnerić, Anita Talaja, Ante Prka
doaj
Advanced Materials, EarlyView.Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Testing of a Structures Covariance Matrix for Three-Level Repeated Measures Data. [PDF]
This paper considers the problem of estimating, and testing for, a Kronecker product covariance structure of three-level (multiple time points (p), multiple sites (u), and multiple response variables (q)) multivariate data.
Ricardo Leiva, Anuradha Roy
core
Advanced Materials Technologies, EarlyView.A THz metasurface device integrating a metal–dielectric–metal resonator with microwall‐defined recessed regions enables spatially guided, label‐free sensing of micrometer‐scale plastic particles. The as‐fabricated devices exhibit distinct THz reflection resonances for 3.1‐µm polystyrene particles and a concentration‐dependent resonance‐frequency‐shift ...
Naoki Inomata +2 more
wiley +1 more source
Recent evidence of the validity of the export-led growth hypothesis for Thailand [PDF]
Numerous empirical studies have devoted to analyze the role of exports in the growth process. This paper examines the relationship between real exports and real GDP in Thailand using quarterly data from 1993 to 2008.
Komain Jiranyakul
core
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Testing for Multivariate Equivalence with Random Quadratic Forms [PDF]
Multivariate equivalence testing becomes necessary whenever the similarity rather than a difference between several treatment groups with multiple endpoints has to be shown.
Weißbach, Rafael
core
On multivariate chi-square distributions and their applications in testing multiple hypotheses [PDF]
, 2014 We are considered with three different types of multivariate chi-square distributions. Their members play important roles as limiting distributions of vectors of test statistics in several applications of multiple hypotheses testing.
Royen, Thomas, Dickhaus, Thorsten
core +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source