Results 101 to 110 of about 109,915 (302)
Assumptions of ordinal logistic regression (N = 530).
, 2022 Assumptions of ordinal logistic regression (N = 530).
Zewdie Birhanu (364608) +5 more
core +1 more source
Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs
Agribusiness, EarlyView.ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple +2 more
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
STATISTICAL RANK METHODS FOR ORDINAL CATEGORICAL DATA
, 1991 The aim of this paper is to present a new rank. method for analysing ordinal scale problems, and to give some of its basic properties. The method is suitable for the assessment of validity and reliability of health measurement instruments.
Holm, Sture, Svensson, Elisabeth
core
Who Are the Consumers of European Farmers' Markets? A Cross‐Country Analysis
Agribusiness, EarlyView.ABSTRACT With substantial growth in the number of farmers' markets (FMs) in developed countries, the number of consumers visiting FMs is also increasing. This study comparatively assesses the consumers of FMs in three European countries where FMs traditionally play a distinctive role in food supply chains.
Áron Török +6 more
wiley +1 more source
Ordinal logistic regression [PDF]
American Journal of Orthodontics and Dentofacial Orthopedics, 2018 Koletsi D, Pandis N
openaire +3 more sources
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
, 2021 The two group between subjects design is pervasive with analyses often performed using the Mann Whitney Rank Sum test or using the Welch variant of the t-test.
Bilski, Bartlomiej +3 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
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