Results 71 to 80 of about 122,783,900 (271)
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
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPermanent GNSS stations continuously monitor Earth’s crust movements in horizontal and vertical directions. The recorded data include deterministic variations, including linear trends, periodic signals, and offsets, alongside stochastic variations
Fatemeh Esmaeili +3 more
doaj +1 more source
Multivariate Spatial Autoregressive Model with Latent Variables: Application to Economic Growth Modeling [PDF]
International Journal of Mathematical, Engineering and Management SciencesResearch involving causal relationships among latent variables that generally use structural equation modeling (SEM) analysis and spatial data simultaneously has an unavoidable impact on using spatial SEM analysis.
Anik Anekawati , Purhadi, Mohammad Rofik
doaj +1 more source
Advanced Science, EarlyView.A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source
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
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Advanced Science, EarlyView.ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
Advanced Science, EarlyView.An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang +14 more
wiley +1 more source
Exports-led growth hypothesis in Pakistan: further evidence [PDF]
The study considers the exports-led growth hypothesis using quarterly data over the period 1990-2008 in case of Pakistan. For this purpose, Ng-Perron unit root test, ARDL bounds testing approach to cointegration and error correction method (ECM) for ...
Ahmad, Khalil +2 more
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The guidelines for content creators creating a competitive advantage over online media industry [PDF]
Decision Science LettersThis study aimed to develop strategic guidelines for content creators to achieve a competitive advantage in the online media industry by constructing a structural equation model (SEM).
Jakkrin Kaopattanaskul +2 more
doaj +1 more source
Advanced Science, EarlyView.An electronics‐free smart scleral lens passively monitors dry eye disease‐related tear biomarkers through colorimetric sensing of chloride, pH, and ocular surface temperature. Smartphone‐assisted image analysis enables quantitative interpretation, providing a simple, non‐invasive strategy for ocular health monitoring without integrated electronics ...
Ziheng Wang +15 more
wiley +1 more source