Search Results - subject:"logistic regression."

Maximizing proportions of correct classifications in binary logistic regression

Hadjicostas, Petros - In: Journal of Applied Statistics 33 (2006) 6, pp. 629-640

proportion of correct classifications in any binary classification method (and, in particular, in binary logistic regression). In …

Persistent link: https://www.econbiz.de/10005458138

Locational determinants of major US air passenger markets by metropolitan area

Liu, Zhi-Jun; Debbage, Keith; Blackburn, Brendan - In: Journal of Air Transport Management 12 (2006) 6, pp. 331-341

The paper examines the influence of metropolitan characteristics in determining the locations of major air traffic markets in the US. In general, the likelihood of a major air passenger market locating in any given metropolitan area is primarily determined by the metropolitan area's population...

Persistent link: https://www.econbiz.de/10011162617

A Financial Distress Pre-Warning Study by Fuzzy Regression Model of TSE-Listed Companies

Cheng, Wen-Ying; Su, Ender; Li, Sheng-Jung - In: Asian Academy of Management Journal of Accounting and … 2 (2006) 2, pp. 75-93

Taiwan Security Exchange (TSE) from 1998 to 2005. By binary logistic regression test, we found that financial statement … validity for financial distress companies and total companies by fuzzy regression model are better than binary logistic … regression model using our research sample (89.77 and 90.98% vs. 85.27 and 90.30%). …

Persistent link: https://www.econbiz.de/10010579162

Predicting Lahar-Inundation Zones: Case Study in West Mount Pinatubo, Philippines

Carranza, Emmanuel; Castro, Ofelia - In: Natural Hazards 37 (2006) 3, pp. 331-372

elevation model. Susceptibility to distal lahar-inundation is estimated by weights-of-evidence, by logistic regression and by …

Persistent link: https://www.econbiz.de/10010996084

A Flexible Model for Generalized Linear Regression with Measurement Error

Roy, Surupa; Banerjee, Tathagata - In: Annals of the Institute of Statistical Mathematics 58 (2006) 1, pp. 153-169

Persistent link: https://www.econbiz.de/10005616349

Study of the potentiality of the electronic commerce in the Region of Murcia by means of a model of logistic regression/Estudio de la Potencialidad del Comercio Electrónico en la R...

GARCÍA, BERNAL; JESÚS, JUAN; MARIA-DOLORES, MARTÍNEZ; … - In: Estudios de Economía Aplicada 24 (2006) Abril, pp. 499-529

Through an investigation of empirical character one has determined the characteristics that they impel or contain to a Murcia´s company to be decided to raise policies of electronic commerce in its company. This work shows the raised variables, that the agents who make the decisions, consider...

Persistent link: https://www.econbiz.de/10005549559

Reexamining the Expected Effect of Available Resources and Firm Size on Firm Environmental Orientation: An Empirical Study of UK Firms

Elsayed, Khaled - In: Journal of Business Ethics 65 (2006) 3, pp. 297-308

responsiveness and environmental performance. Econometric results of environmental responsiveness using the logistic regression model …

Persistent link: https://www.econbiz.de/10005719686

A multivariate analysis of the financial characteristics of foreign and domestic banks in the UK

Kosmidou, K.; Pasiouras, F.; Zopounidis, C.; Doumpos, M. - In: Omega 34 (2006) 2, pp. 189-195

For the banking sector in the EU, the UK is one of the most important countries, since over a quarter of all banking assets in the EU are held in the UK and it is the largest single international banking centre, accounting for 20% of the world's cross-border lending. The UK banking sector has...

Persistent link: https://www.econbiz.de/10005336086

Minimum Φ-divergence estimator in logistic regression models

Pardo, Julio; Pardo, Leandro; Pardo, María - In: Statistical Papers 47 (2006) 1, pp. 91-108

Persistent link: https://www.econbiz.de/10008533845

Quantifying expert opinion for modelling fauna habitat distributions

Al-Awadhi, Shafiqah; Garthwaite, Paul - In: Computational Statistics 21 (2006) 1, pp. 121-140

Persistent link: https://www.econbiz.de/10005166777