Results 91 to 100 of about 470,038 (304)
Partitioned conditional generalized linear models for categorical data [PDF]
, 2014 In categorical data analysis, several regression models have been proposed for hierarchically-structured response variables, e.g. the nested logit model. But they have been formally defined for only two or three levels in the hierarchy.
Guédon, Yann +2 more
core +4 more sources
BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models
Advanced Intelligent Systems, EarlyView.This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan +7 more
wiley +1 more source
Bidimensional Inequalities with an Ordinal Variable [PDF]
, 2011 The normative foundations of the comparison of distributions of a single attribute between a given number of individuals are by now well-established. They originate in the equivalence between four plausible answers to the question of when a distribution x can be considered normatively better than a distribution y.
N. GRAVEL +1 more
openaire +2 more sources
Dimensionality reduction methods for contingency tables with ordinal variables [PDF]
, 2016 Correspondence analysis is a widely used tool for obtaining a graphical representation of the interdependence between the rows and columns of a contingency table, by using a dimensionality reduction of the spaces. The maximum information regarding the
Amenta, Pietro +2 more
core
Advanced Intelligent Systems, EarlyView.This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source
Frontiers in Applied Mathematics and Statistics, 2016 Multivariate analysis of variance (MANOVA) is a widely used technique for simultaneously comparing means for multiple dependent variables across two or more groups. MANOVA rests on several assumptions, including that of multivariate normality.
Holmes eFinch
doaj +1 more source
, 2014 In this article, we consider the problem of reconstructing networks for continuous, binary, count and discrete ordinal variables by estimating sparse precision matrix in Gaussian copula graphical models.
Abegaz, Fentaw, Wit, Ernst
core +1 more source
Interactive Tool for Customizing Hydrogel Properties in Practical Applications
Advanced Intelligent Systems, EarlyView.This research provides an open‐access tool that enables the scientific community to optimally synthesize hydrogels without requiring expert knowledge, thereby reducing experimental costs. Soft materials represent an interdisciplinary frontier in modern science, combining theoretical and experimental knowledge from diverse fields in both fundamental ...
Ricardo Negrete‐Gallego +5 more
wiley +1 more source
Journal of Research in Medical Sciences, 2014 Background: selecting the correct statistical test and data mining method depends highly on the measurement scale of data, type of variables, and purpose of the analysis.
Hamid Reza Marateb +3 more
doaj
Generating Factor Variables for Asymmetry, Non-independence and Skew-symmetry Models in Square Contingency Tables using SAS [PDF]
In this paper, a SAS program (macro) is written to generate factor and regression variables required for implementing asymmetry, non-independence, non-symmetry + independence models as well as skew-symmetry models in discussed in square a x a contingency
H. Bayo Lawal, Richard A. Sundheim
core +1 more source