Results 131 to 140 of about 2,609,891 (296)
Agribusiness, EarlyView.ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
Modeling Uncertainty in Ordinal Regression: The Uncertainty Rating Scale Model
StatsIn questionnaires, respondents sometimes feel uncertain about which category to choose and may respond randomly. Including uncertainty in the modeling of response behavior aims to obtain more accurate estimates of the impact of explanatory variables on ...
Gerhard Tutz
doaj +1 more source
Analyzing clustered continuous response variables with ordinal regression models. [PDF]
Biometrics, 2023 Tian Y +4 more
europepmc +1 more source
Regularized Proportional Odds Models [PDF]
, 2011 The proportional odds model is commonly used in regression analysis to predict the outcome for an ordinal response variable. The maximum likelihood approach becomes unstable or even fails in small samples with relatively large number of predictors.
Heumann, Christian +1 more
core +1 more source
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
Agribusiness, EarlyView.ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
Ordinal versus nominal regression models and the problem of correctly predicting draws in soccer
International Journal of Computer Science in Sport, 2017 Ordinal regression models are frequently used in academic literature to model outcomes of soccer matches, and seem to be preferred over nominal models. One reason is that, obviously, there is a natural hierarchy of outcomes, with victory being preferred ...
Hvattum L. M.
doaj +1 more source
Annals of Gastroenterological Surgery, EarlyView.Item‐level factor analysis of the LARS and Wexner scores in 320 patients undergoing sphincter‐preserving rectal resection identified three distinct symptom domains: incontinence, urgency/clustering, and gas control. These domains had different clinical determinants: radiotherapy was associated with greater severity of both incontinence and urgency ...
Yoshiko Matsumoto +8 more
wiley +1 more source
Regression and Decomposition with Ordinal Health Outcomes
Journal of Health EconomicsAlthough ordinal health outcome values are categories like "poor" health or "moderate" depression, they are often assigned values 1,2,3,… for convenience. We provide results on interpretation of subsequent analysis based on ordinary least squares (OLS) regression.
Qian Wu, David M. Kaplan
openaire +2 more sources
Advanced Intelligent Systems, EarlyView.Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
wiley +1 more source
An application of ordinal regression to extract social dysfunction levels through behavioral problems. [PDF]
AIMS Public Health, 2023 Sabharwal A, Goyal B, Joshi LM.
europepmc +1 more source