Results 71 to 80 of about 16,026 (302)
The result of multinomial logit model regression.
, 2023 The result of multinomial logit model regression.
Lei Li (29537) +2 more
core +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Advanced Intelligent Discovery, EarlyView.Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Russian Journal of Agricultural and Socio-Economic Sciences, 2021 This study used multinomial logit regression to determine the factors that drive the choice of major adaptation measures by famers in Birnin-Kudu, Jigawa State. The study used multistage sampling procedure to select 120 food crop famers in the area. Data
Mailumo S.S., Onuwa G.C., Oyewole S.
doaj +1 more source
DCE results—Effects coded multinomial logit model.
, 2023 DCE results—Effects coded multinomial logit model.
Mareme Diallo (14691567) +3 more
core +1 more source
American Journal of Agricultural Economics, EarlyView.Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
Multinomial Logit Models for the Austrian Labor Market
Austrian Journal of Statistics, 2016 In this paper we analyze the selection of industry branches by employees in the Austrian labor market. For this purpose we use the standard logit model and the heteroscedastic extreme value model.
Ivan Pryanishnikov, Katarina Zigova
doaj +1 more source
Multinomial logit bias reduction via Poisson log-linear model [PDF]
, 2010 It is shown how to obtain the bias-reducing penalized maximum likelihood estimator for the parameters of a multinomial logistic regression by using the equivalent Poisson log-linear model.
Firth, David +5 more
core +1 more source
Sociodemographic Factors Associated with Hours Worked by Primary Carers in Australia
Australian Journal of Social Issues, EarlyView.ABSTRACT Primary caregivers constitute a major unpaid workforce in Australia. The aim of this study was to determine the sociodemographic factors that are associated with carer workloads. Multinomial logistic regression modelling was applied to the nation‐wide Australian Government survey.
Andrew J. Hamilton
wiley +1 more source
Airport and Access Mode Choice in Germany: A Generalized Neural Logit Model Approach [PDF]
, 2006 The purpose of the paper is to present a novel approach of a general airport and access mode choice model. Based on data of the German Air Traveller Survey 2003 with a sample size of about 210.000 passengers interviewed at 21 airports a three-stage ...
Gelhausen, Marc +1 more
core
Business Strategy and the Environment, EarlyView.ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley +1 more source