Factors Influencing Tooth Sensitivity: Insights From the Hospital Universiti Sains Malaysia Using Bootstrap-Enhanced Ordinal Regression. [PDF]
Mat Lazin MA +6 more
europepmc +1 more source
Evaluating Doctor Performance: Ordinal Regression-Based Approach. [PDF]
Shi Y, Li P, Yu X, Wang H, Niu L.
europepmc +1 more source
ABSTRACT Advancing sustainable development requires organisations to align digital capabilities with social and environmental objectives, yet the mechanisms by which digital maturity and sustainability practices drive innovation remain poorly understood across organisational contexts.
Antonio Manuel Ciruela‐Lorenzo +3 more
wiley +1 more source
Deep Ordinal Regression Network for Monocular Depth Estimation. [PDF]
Fu H +4 more
europepmc +1 more source
Non-additive robust ordinal regression with choquet integral, bipolar and level dependent choquet integrals [PDF]
Angilella, S. +2 more
core
ABSTRACT This study examines how different scoring architectures evaluate the same ESG disclosure text and produce different ESG disclosure‐quality scores. Using sustainability‐related reports published by Korean listed firms during 2020–2021, the study compares three approaches: Human‐ESG based on a structured nine‐item disclosure‐quality rubric, Rule‐
Jaehyun Park
wiley +1 more source
The Evaluation of Ordinal Regression Model's Performance Through the Implementation of Multilayer Feed-Forward Neural Network: A Case Study of Hypertension. [PDF]
Adnan MN +7 more
europepmc +1 more source
Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach. [PDF]
Liu D, Zhang H.
europepmc +1 more source
Profits, Image, and Sustainability in Plastic Waste Recycling Behavior
ABSTRACT Plastic waste is an environmental and public health concern. In the agricultural sector, plastic waste handling is largely unregulated. Using survey data from horticultural firms, we investigate a previously unexplored relationship between a firm's decision to voluntarily discard recyclable plastic containers and the firm's perception about ...
Yawotse Nouve, Wojciech J. Florkowski
wiley +1 more source
Ordinal regression models for zero-inflated and/or over-dispersed count data. [PDF]
Valle D, Ben Toh K, Laporta GZ, Zhao Q.
europepmc +1 more source

