Results 11 to 20 of about 7,508 (250)
Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation [PDF]
, 2013 Forthcoming
Candelon, Bertrand +3 more
core +6 more sources
Bayesian analysis of multivariate nominal measures using multivariate multinomial probit models [PDF]
Computational Statistics & Data Analysis, 2008 The multinomial probit model has emerged as a useful framework for modeling nominal categorical data, but extending such models to multivariate measures presents computational challenges. Following a Bayesian paradigm, we use a Markov chain Monte Carlo (MCMC) method to analyze multivariate nominal measures through multivariate multinomial probit models.
Xiao Zhang +2 more
openaire +3 more sources
Factor affecting outlet choice of onion producers Northwest Ethiopia in multivariate probit approach
Cogent Food & Agriculture, 2020 Onion is an important vegetable product for food security and income generation to a large proportion of the rural household of Ethiopia. Enhancing onion farmers to reach markets and actively engage in the markets as a key challenges influencing onion ...
Habtamu Mossie +2 more
doaj +1 more source
Determinants of groundnut producers’ market channel choice in Western Oromia region, Ethiopia
Journal of Agriculture and Food Research, 2022 Lack of adequate number of groundnut farmers' market channels remain long lasting problems in the study area. However, the choice of an appropriate market channel enables farmers to get reasonable profits from groundnut production.
Oliyad Sori, Megersa Adugna
doaj +1 more source
Sequential Monte Carlo EM for multivariate probit models [PDF]
Computational Statistics & Data Analysis, 2014 Multivariate probit models (MPM) have the appealing feature of capturing some of the dependence structure between the components of multidimensional binary responses. The key for the dependence modelling is the covariance matrix of an underlying latent multivariate Gaussian.
Giusi Moffa, Jack Kuipers
openaire +4 more sources
Heliyon, 2023 Efforts have been made on promoting improved chickpea technologies. However, the result is not that much impressive. This study aimed to analyze drivers of technology adoption. 224 respondents were used for this study.
Mesfin Fenta Wale +2 more
doaj +1 more source
Journal of Economic Structures, 2019 In Ethiopia, teff is an important cereal crop, particularly in Dera district. It is a source of food and provides cash income for majority of smallholder farmers.
Tadie Mirie Abate +2 more
doaj +1 more source
Cogent Food & Agriculture, 2022 Information communication technology is energetic for rural transformation and plays a great role in agricultural development. However, there are factors affecting farmers’ use of information.
Berhanu Daniso
doaj +1 more source
Cogent Food & Agriculture, 2018 Pepper is an important cash crop for its contribution to income-generating, employment opportunity and improvement of food security to the majority of the rural households.
Gizachew Wosene +2 more
doaj +1 more source
Enterprise innovation in developing countries: an evidence from Ethiopia
Journal of Innovation and Entrepreneurship, 2018 Enterprise innovation has gained the interest of development policymakers and scholars as the bases for the industrial development. This study comprehensively analyzes the drivers of enterprise innovation in developing countries.
Megersa Debela Daksa +3 more
doaj +1 more source