Search Results - subject:"logistic regression."

Analyzing E-Learning Adoption via Recursive Partitioning

Köllinger, Philipp; Schade, Christian - DIW Berlin (Deutsches Institut für Wirtschaftsforschung) - 2003

countries. Comparing the predictive quality of CART, we find that CART outperforms a traditional logistic regression. The …

Persistent link: https://www.econbiz.de/10005018673

Bayesian estimate of credit risk via MCMC with delayed rejection

Antonietta, Mira; Paolo, Tenconi - Facoltà di Economia, Università degli Studi dell'Insubria - 2003

We develop a Bayesian hierarchical logistic regression model to predict the credit risk of companiers classified in …

Persistent link: https://www.econbiz.de/10005771904

On robustness properties of convex risk minimization methods for pattern recognition

Christmann, Andreas; Steinwart, Ingo - Institut für Wirtschafts- und Sozialstatistik, … - 2003

. Kernel logistic regression, support vector machines, least squares and the AdaBoost loss function are treated as special …

Persistent link: https://www.econbiz.de/10009295189

On robustness properties of convex risk minimization methods for pattern recognition

Christmann, Andreas; Steinwart, Ingo - 2003

. Kernel logistic regression, support vector machines, least squares and the AdaBoost loss function are treated as special …

Persistent link: https://www.econbiz.de/10010477496

Analyzing e-learning adoption via recursive partitioning

Koellinger, Philipp; Schade, Christian D. - 2003

countries. Comparing the predictive quality of CART, we find that CART outperforms a traditional logistic regression. The …

Persistent link: https://www.econbiz.de/10011438452

Lietuvos smulkaus ir vidutinio verslo įmonės sėkmės veiksnių vertinimas

Verbalytė, Laura - 2011

basic research method – Logistic regression - is also presented. In the third part of final master’s work, review of …

Persistent link: https://www.econbiz.de/10009478498

Comparing Neural Network and Ordinal Logistic Regression to Analyze Attitude Responses

Larasati, Aisyah; DeYong, Camille; Slevitch, Lisa - In: Service Science 3 (2011) 4, pp. 304-312

to analyze rank-order responses is the Ordinal Logistic Regression (OLR) model. In addition to the use of regression, the …

Persistent link: https://www.econbiz.de/10010990693

The state and consumer confidence in eco-labeling: organic labeling in Denmark, Sweden, The United Kingdom and The United States

Sønderskov, Kim; Daugbjerg, Carsten - In: Agriculture and Human Values 28 (2011) 4, pp. 507-517

Trustworthy eco-labels provide consumers with valuable information on environmentally friendly products and thus promote green consumerism. But what makes an eco-label trustworthy and what can government do to increase consumer confidence? The scant existing literature indicates that low...

Persistent link: https://www.econbiz.de/10011002100

Place effects for areas defined by administrative boundaries: A life course analysis of mortality and cause specific morbidity in Scania, Sweden

Ohlsson, Henrik; Merlo, Juan - In: Social Science & Medicine 73 (2011) 8, pp. 1145-1151

To understand the origin of disease risk in adulthood, factors in all stages of life and on different contextual levels should be considered. Therefore, the aim of this study was to investigate the relevance of a person’s area of residence over their life course with regard to four outcomes:...

Persistent link: https://www.econbiz.de/10010582557

Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression

Bui, Dieu; Lofman, Owe; Revhaug, Inge; Dick, Oystein - In: Natural Hazards 59 (2011) 3, pp. 1413-1444

. The area under the curve (AUC) for the statistical index model was 0.946 and for the logistic regression model, 0 …The purpose of this study is to evaluate and compare the results of applying the statistical index and the logistic … regression methods for estimating landslide susceptibility in the Hoa Binh province of Vietnam. In order to do this, first, a …

Persistent link: https://www.econbiz.de/10010995808