Results 71 to 80 of about 20,009 (303)
Semiparametric Multinomial Logit Models for Analysing Consumer Choice Behaviour [PDF]
, 2006 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
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
A New Condition for Pooling States in Multinomial Logit [PDF]
SSRN Electronic Journal, 2012 The Cramer-Ridder test is a popular procedure for testing if some outcome states can be pooled into one state in the multinomial logit model. This note shows that, in the presence of binary regressors, the test is overly stringent and poolability may not be tested unambiguously.
openaire +1 more source
Random Forests for Multiclass Classification: Random
, 2008 —Several supervised learning algorithms are suited to classify instances into a multiclass value space. MultiNomial Logit (MNL) is recognized as a robust classifier and is commonly applied within the CRM (Customer Relationship Management) domain ...
Multinomial Logit +1 more
core
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
Mid‐Domain Effect and Wooded Habitat Shape Mediterranean Reptile Communities
Biological Diversity, EarlyView.Analyzing a large number of reptiles observed across protected areas in Central Italy, we tested whether the mid‐domain effect explains hump‐shaped richness–elevation patterns. Species richness was best predicted by the combined influence of geometric constraints and woodland cover, revealing two contrasting species clusters and offering a robust ...
Daniele Dendi +3 more
wiley +1 more source
Learning an arbitrary mixture of two multinomial logits
CoRR, 2020 In this paper, we consider mixtures of multinomial logistic models (MNL), which are known to $ε$-approximate any random utility model. Despite its long history and broad use, rigorous results are only available for learning a uniform mixture of two MNLs. Continuing this line of research, we study the problem of learning an arbitrary mixture of two MNLs.
openaire +2 more sources
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
Comparing discrete choice and machine learning models in predicting destination choice
European Transport Research ReviewDestination 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
Business Strategy and the Environment, EarlyView.ABSTRACT Little is known about consumer preferences for combinations of circular business model patterns, despite their potential to benefit the design of product services. This study examines consumer preferences for product‐as‐a‐service offers, combined with circular product attributes, across Sweden and the Netherlands.
Steven Sarasini +5 more
wiley +1 more source