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Logistic regression

Known as: Regression, Binary logit model, Conditional logistic regression 
In statistics, logistic regression, or logit regression, or logit model is a regression model where the dependent variable (DV) is categorical. This… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
Factors Influencing Cooperative Membership and Share Increment: An Application of the Logistic Regression Analysis in the Malaysian Cooperatives
This study investigates factors that influence cooperative membership and their share capital increment using the binary logistic… 
Highly Cited
2008
Highly Cited
2008
Modelling the reliability of search and rescue operations with Bayesian Belief Networks
Highly Cited
2007
Highly Cited
2007
Characteristics of Merging Firms in India: An Empirical Examination
The process of corporate restructuring through mergers and acquisitions has occupied much relevance in post-liberalization period… 
Highly Cited
2005
Highly Cited
2005
Estimation of consumer preferences on new telecommunications services: IMT-2000 service in Korea
Highly Cited
2004
Highly Cited
2004
Habitat selection by the pale-headed brush-finch (Atlapetes pallidiceps) in southern Ecuador: implications for conservation
Highly Cited
2003
Highly Cited
2003
A Markov switching regime model of the South African business cycle
Review
2003
Review
2003
Modeling airline passenger choice : passenger preference for schedule in the passenger origin-destination simulator (PODS)
This thesis examines how to model the choice of individual travelers among various possible travel alternatives in the airline… 
Highly Cited
2000
Highly Cited
2000
Collateral, default risk, and relationship lending: An empirical study on financial contracting
This paper provides further insights into the nature of relationship lending by analyzing the link between relationship lending… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1992
Highly Cited
1992
A Logistic Model for Time-Limit Tests
The purpose of the present chapter is to introduce a psychometric model for time-limit tests. Our point of departure is a… 
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