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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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Comparison of credit scoring models on probability of default estimation for US banks
Gurný, Petr; Gurný, Martin - In: Prague economic papers : a bimonthly journal of … 22 (2013) 2, pp. 163-181
Persistent link: https://www.econbiz.de/10010226491
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Outliers and influence points in German business cycles
Zucknick, Manuela; Weihs, Claus; Garczarek, Ursula - 2002
multivariate outliers as well as influence points corresponding to Linear Discriminant Analysis. The locations of the corresponding …
Persistent link: https://www.econbiz.de/10009770532
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Factors affecting FDI : a statistical analysis of Asian nations
Sethi, Ishita; Gupta, Nabh; Aggarwal, Shubham; Saini, Neha - In: International journal of management concepts and … 13 (2020) 4, pp. 275-291
Persistent link: https://www.econbiz.de/10012514625
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Credit risk assessment : a comparison of the performances of the linear discriminant analysis and the logistic regression
Levy, Aldo; Baha, Riad - In: International journal of entrepreneurship and small … 42 (2021) 1/2, pp. 169-186
Persistent link: https://www.econbiz.de/10012510098
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Outliers and influence points in German business cycles
Zucknick, Manuela; Weihs, Claus; Garczarek, Ursula - 2002
multivariate outliers as well as influence points corresponding to Linear Discriminant Analysis. The locations of the corresponding …
Persistent link: https://www.econbiz.de/10010316672
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A Hybrid GA-LDA Scheme for Feature Selection in Content-Based Image Retrieval
Belattar, Khadidja; Mostefai, Sihem; Draa, Amer - In: International Journal of Applied Metaheuristic … 9 (2018) 2, pp. 48-71
Feature selection is an important pre-processing technique in the pattern recognition domain. This article proposes a hybridization between Genetic Algorithm (GA) and the Linear Discriminant Analysis (LDA) for solving the feature selection problem in Content-Based Image Retrieval (CBIR) applied...
Persistent link: https://www.econbiz.de/10012042966
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Predicting Impulsive Buyers: A Comparative Study of Binary Classifiers' Discriminative Ability
Prashar, Sanjeev; Parsad, Chandan; Vijay, T Sai - In: International Journal of Strategic Decision Sciences (IJSDS) 7 (2016) 2, pp. 40-56
Researches over the years have posited that most of the purchasing decisions made by shoppers are unplanned and mostly made inside the store. Every year retailers spend huge amount on in-store promotion and store environment to gain consumers' attention and stimulate them for such impulsive...
Persistent link: https://www.econbiz.de/10012047492
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Advanced regression models
Iyengar, Raghuram; Gupta, Sunil - In: The handbook of marketing research : uses, misuses, and …, (pp. 267-287). 2006
Persistent link: https://www.econbiz.de/10003420125