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Measuring overlap in logistic regression
Christmann, Andreas; Rousseeuw, Peter J. - 1999
amount of separation between successes and failures in the binary response framework. Extending this algorithm allows us to … compute the overlap in data sets which are commonly fitted by logistic regression models. The overlap is the number of … observations that would need to be removed to obtain complete or quasicomplete separation, i.e. the situation where the logistic …
Persistent link: https://www.econbiz.de/10010316690
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Measuring overlap in logistic regression
Christmann, Andreas; Rousseeuw, Peter J. - 1999
amount of separation between successes and failures in the binary response framework. Extending this algorithm allows us to … compute the overlap in data sets which are commonly fitted by logistic regression models. The overlap is the number of … observations that would need to be removed to obtain complete or quasicomplete separation, i.e. the situation where the logistic …
Persistent link: https://www.econbiz.de/10009793277
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Semiparametric estimation in logistic measurement error models
Carroll, Raymond - University of Bonn, Germany - 1989
Persistent link: https://www.econbiz.de/10004993142
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Predicting US banks bankruptcy : logit versus canonical discriminant analysis
Affes, Zeineb; Hentati-Kaffel, Rania - In: Computational economics 54 (2019) 1, pp. 199-244
Persistent link: https://www.econbiz.de/10012134115
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Debris-flow susceptibility of upland catchments
Bertrand, Mélanie; Liébault, Frédéric; Piégay, Hervé - In: Natural Hazards 67 (2013) 2, pp. 497-511
Over the last three decades, many regional studies in mountain ranges under temperate climate revealed that it is possible to discriminate debris-flow and fluvial fans from morphometric indicators measured at the scale of the catchment and the fan itself. The most commonly used indicators are...
Persistent link: https://www.econbiz.de/10010847001
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Multivariate analysis : an application-oriented introduction
Backhaus, Klaus; Erichson, Bernd; Gensler, Sonja; … - 2023 - Second edition
Introduction to empirical data analysis -- Regression analysis -- Analysis of variance -- Discriminant analysis -- Logistic regression -- Contingency analysis -- Factor analysis -- Cluster analysis -- Conjoint analysis.
Persistent link: https://www.econbiz.de/10014306612
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Two statistical problems related to credit scoring / Tanja de la Rey.
De la Rey, Tanja - 2007
. Secondly, we derive a new method DOUW (detecting outliers using weights) which may be used to fit logistic regression models … robustly and for the detection of outliers.In the first problem, the focus is on a measure which may be used to study the … problem, the focus is on providing a robust logistic regression fit andthe identification of outliers. It is well-known that …
Persistent link: https://www.econbiz.de/10009455950
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An application of principal component analysis and logistic regression to facilitate production scheduling decision support system: An automotive industry case
Mehrjoo, Saeed; Bashiri, Mahdi - In: Journal of Industrial Engineering International 9 (2013), pp. 1-12
Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms,...
Persistent link: https://www.econbiz.de/10011551798
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International migration desires related to subjective well-being
Cai, Ruohong; Esipova, Neli; Oppenheimer, Michael; … - In: IZA Journal of Migration 3 (2014), pp. 1-20
Previous research on the determinants of international migration has largely focused on objective factors, such as income. We instead use subjective well-being (SWB) to explain international migration desires, an expressed willingness to migrate. We find that individuals with higher SWB have...
Persistent link: https://www.econbiz.de/10011586012
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Determinants of fortified wine consumption in Russia: Evidence from a national sample of the Russian Population
Yormirzoev, Mirzobobo - In: Wine Economics and Policy 5 (2016) 1, pp. 42-49
In this article we examine factors affecting fortified wine consumption in Russia by utilizing micro-level data from the Russian Longitudinal Monitoring Survey (RLMS). A model with limited dependent variables has been applied to the study. Our analysis shows that Russian males demonstrate a...
Persistent link: https://www.econbiz.de/10011986519