Results 131 to 140 of about 179,170 (301)
SAS Macro BDM for Fitting the Dale Regression Model to Bivariate Ordinal Response Data
A SAS macro for fitting an extension of the Dale (1986) regression model to bivariate ordinal data is provided. The macro is described in detail and examples from Dale (1986) and McMillan, Hanson, Bedrick, and Lapham (2005) are discussed.
Garnett McMillan, Timothy Hanson
core
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
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
A distance metric for ordinal data based on misclassification
Journal of Innovative Applied Mathematics and Computational SciencesDistances between data sets are used for analyses such as classification and clustering analyses. Some existing distance metrics, such as the Manhattan (City Block or L1 ) distance, are suitable for use with categorical data, where the data subtype is ...
Dreas Nielsen
doaj +1 more source
An ordinal scaling method for questionnaire and other ordinal data
, 1988 This paper reports the development and application of a method for ordering persons and items (or stimuli) when responses are ordinal. The method applies most directly to data where responses are dichotomous, indicating agreement or acceptableness or
Collins, Linda M. +4 more
core +1 more source
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
Ordinal Variables and the Measurement of Polarization
This paper aims at proposing measures of polarization for the distribution of a variable when information on the latter is only ordinal. The measures proposed are borrowed from the recent literature on the measurement of segregation.
FUSCO Alessio, SILBER Jacques
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Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives
Agribusiness, EarlyView.ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza +2 more
wiley +1 more source
On Certain Indices for Ordinal Data with Unequally Weighted Classes
In this paper, some new indices for ordinal data are introduced. These indices have been developed so as to measure the degree of concentration on the “small” or the “large” values of a variable whose level of measurement is ordinal.
Perakis, Michael +4 more
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A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function [PDF]
The stochastic frontier model used for continuous dependent variables is extended to accommodate output measured as a discrete ordinal outcome variable.
Xiaohui Zhang +2 more
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