Results 191 to 200 of about 109,915 (302)
Evaluating Doctor Performance: Ordinal Regression-Based Approach. [PDF]
Shi Y, Li P, Yu X, Wang H, Niu L.
europepmc +1 more source
Non-additive robust ordinal regression with choquet integral, bipolar and level dependent choquet integrals [PDF]
Angilella, S. +2 more
core
Seats at the Table, Shifts in the Actions: Board Gender Diversity and Climate Activism
ABSTRACT As regulatory and stakeholder pressures intensify, firms are increasingly expected to move beyond symbolic sustainability commitments towards corporate climate activism. This concept refers to the active institutionalisation of climate‐focused mechanisms such as external assurance, board oversight and climate‐linked incentives.
Md Tanvir Hamim, Rasim Simsek
wiley +1 more source
Deep Ordinal Regression Network for Monocular Depth Estimation. [PDF]
Fu H +4 more
europepmc +1 more source
ABSTRACT Using Global Entrepreneurship Monitor (GEM) 2024 data for Italy and the United Kingdom, this study examines how gender gaps in entrepreneurial perceptions, measured as perceived entrepreneurial skills and fear of failure, vary across age and education within contrasting institutional regimes.
Giusy Sica +4 more
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
ABSTRACT Green bonds play a central role in sustainable finance, yet concerns about greenwashing raise questions about the credibility of issuers' sustainability disclosures. Using dictionary‐based methods and domain‐specific BERT transformer models, this paper proposes two greenwashing alert metrics and investigates their performance by analyzing ...
Andrea Nicolodi +4 more
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
MIXNO: a computer program for mixed-effects nominal logistic regression
MIXNO provides maximum marginal likelihood estimates for mixed-effects nominal logistic regression analysis. These models can be used for analysis of correlated nominal response data, for example, data arising from a clustered or longitudinal design. For
Donald Hedeker
core +1 more source

