Results 81 to 90 of about 470,038 (304)
A Powerful Method To Test Associations Between Ordinal Traits and Genotypes
G3: Genes, Genomes, Genetics, 2019 The methods commonly used to test the associations between ordinal phenotypes and genotypes often treat either the ordinal phenotype or the genotype as continuous variables.
Jinjuan Wang +4 more
doaj +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
Learning a bayesian network from ordinal data [PDF]
Bayesian networks are graphical models that represent the joint distributionof a set of variables using directed acyclic graphs. When the dependence structure is unknown (or partially known) the network can be learnt from data.
Flaminia Musella
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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
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 [PDF]
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
core +1 more source
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
Simultaneous transformation into interval scales for a set of categorical variables
Statistica, 2007 The paper – related to the problem of ordinal scale transformations, extensively dealt with by Amato Herzel – examines some implications and an extension of the method heuristically proposed by Jones (1986) to simultaneously transform a set of observed ...
Angelo Zanella, Gabriele Cantaluppi
doaj +1 more source
Representing ordinal input variables in the context of ordinal classification
2016 International Joint Conference on Neural Networks (IJCNN), 2016 Ordinal input variables are common in many supervised and unsupervised machine learning problems. We focus on ordinal classification problems, where the target variable is also categorical and ordinal. In order to represent categorical input variables for measuring distances or applying continuous mapping functions, they have to be transformed to ...
Gutiérrez Peña, Pedro Antonio +3 more
openaire +2 more sources
Data analysis with ordinal and interval dependent variables: examples from a study of real estate salespeople [PDF]
This paper re-examines the problems of estimating the parameters of an underlying linear model using survey response data in which the dependent variables are in discrete categories of ascending order (ordinal, as distinct from numerical) or, where they ...
Barry E. Langford, G. Martin Izzo
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