Results 61 to 70 of about 16,026 (302)
Among the ways to construct experimental designs having been proposed, orthogonal design, uniform design, and D-efficient design are state-of-the-art methods. This article provides detailed comparisons on the efficiency and robustness among these methods
Hai Zhu +4 more
doaj +1 more source
Generations, permanent income and housing tenure choice: A multinomial logit model approach [PDF]
This paper examines how generational cohorts influence households’ choices regarding housing tenure and considers the diverse preferences and socio-economic factors that shape decisions—using survey data on 425 families in Ho Chi Minh City ...
Thuy Tien Huynh, Dang Thuy Truong
doaj +1 more source
ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani +6 more
wiley +1 more source
Development of parameters of multinomial logit models
The use of multinomial logit models for predicting mode-choice decisions for urban travel has gained prominence in recent years. The prime advantage of these models lies in their ability to allocate travel demand among many modes at the same time, as opposed to the traditional binary mode-choice models developed in the early sixties. A major impediment
Khasnabis, S., Cynecki, M.J.
openaire +1 more source
ABSTRACT Past growth in the global organic market has been concentrated in high‐income countries, while in middle‐income countries such as Serbia the organic market remains nascent and characterized by a sparse assortment of organic products, high retail premia and limited evidence on consumer preferences and their drivers.
Milan Tatic +3 more
wiley +1 more source
Semiparametric Multinomial Logit Models for Analysing Consumer Choice Behaviour [PDF]
The multinomial logit model (MNL) is one of the most frequently used statistical models in marketing applications. It allows to relate an unordered categorical response variable, for example representing the choice of a brand, to a vector of covariates ...
Steiner, Winfried J. +2 more
core +1 more source
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales +3 more
wiley +1 more source
Comparing discrete choice and machine learning models in predicting destination choice
Destination choice modeling has long been dominated by theory-based discrete choice models. Simultaneously, machine learning has demonstrated improved predictive performance to other fields of discrete choice modeling.
Ilona Rahnasto, Martijn Hollestelle
doaj +1 more source
Background Consumption of sugar-sweetened beverages (SSBs) or sugary drinks may reduce or even eliminate the household income allocation for other essential commodities.
Abul Kalam Azad, Rumana Huque
doaj +1 more source
A Generalized Neural Logit Model for Airport and Access Mode Choice in Germany [PDF]
The purpose of this paper is to present a new kind of discrete choice model called "Generalized Neural Logit Model" applied exemplarily to the case of airport and access mode choice.
Gelhausen, Marc +1 more
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