Search Results - subject:"logistic regression."

Water Quality Assessment of the Mudurnu River, Turkey, Using Biotic Indices

Ogleni, Nurtac; Topal, Bayram - In: Water Resources Management 25 (2011) 10, pp. 2487-2508

investigated by using statistical methods. With decision tree technique, artificial neural network (ANN) and logistic regression …

Persistent link: https://www.econbiz.de/10010997907

Estimating Propensity Adjustments for Volunteer Web Surveys

Valliant, Richard; Dever, Jill A. - In: Sociological Methods & Research 40 (2011) 1, pp. 105-137

Panels of persons who volunteer to participate in Web surveys are used to make estimates for entire populations, including persons who have no access to the Internet. One method of adjusting a volunteer sample to attempt to make it representative of a larger population involves randomly...

Persistent link: https://www.econbiz.de/10009367520

Avrupa Birligi'ne Uyelik Surecinde Etkili Faktorlerin Kosullu Lojistik Regresyon Modelleri ile Degerlendirilmesi

Unvan, Yuksel Akay; Ozel, Gamze - In: Istanbul University Econometrics and Statistics e-Journal 14 (2011) 1, pp. 62-83

logistic regression models by constructing different matched case-control designs and to compare the models. Using data of 2009 … other candidate countries will be the EU members more than eight years. Also, it is found that the conditional logistic … regression model with (n:m) matching design gives better results for the EU membership. …

Persistent link: https://www.econbiz.de/10009191095

Selected socio-economic factors affecting the willingness to minimise solid waste in Dhaka city, Bangladesh

Afroz, Rafia; Tudin, Rabaah; Hanaki, Keisuke; Masud, … - In: Journal of Environmental Planning and Management 54 (2011) 6, pp. 711-731

these, 103 households regularly practised recycling activities. Ordinary least square (OLS) regression and logistic … regression analysis were used to determine the dominant factors that might influence the waste generation and households …

Persistent link: https://www.econbiz.de/10009221231

Analysing Determinants of Foreclosure among High-income African-American and Hispanic Borrowers in the Washington, DC Metropolitan Area

Anacker, Katrin; Carr, James - In: International Journal of Housing Policy 11 (2011) 2, pp. 195-220

utilizing a logistic regression model, we analyse the likelihood of foreclosure in the Washington, DC metropolitan area. We find …

Persistent link: https://www.econbiz.de/10009221735

Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV

Zhang, Yong; Yu, Yifeng; Zou, Bai - In: Energy Policy 39 (2011) 11, pp. 7015-7024

respondents from various driving schools in Nanjing. Three binary logistic regression models were used to determine the factors …

Persistent link: https://www.econbiz.de/10010572858

Driving factors of post adoption behavior in mobile data services

Choi, Hun; Kim, Youngchan; Kim, Jinwoo - In: Journal of Business Research 64 (2011) 11, pp. 1212-1217

Although research interest in post adoption behavior of ICT (Information and Communication Technology) users increases from year to year, few studies examine how motivational factors and service type influence post adoption behavior. This study investigates the antecedents of post adoption...

Persistent link: https://www.econbiz.de/10010573727

Kernel logistic regression using truncated Newton method

Maalouf, Maher; Trafalis, Theodore; Adrianto, Indra - In: Computational Management Science 8 (2011) 4, pp. 415-428

Persistent link: https://www.econbiz.de/10009324513

Limit to improvement in running and swimming

Chang, Yu Sang; Baek, Seung Jin - In: International Journal of Applied Management Science 3 (2011) 1, pp. 97-120

Can human performance continue to improve indefinitely? Or improvement will eventually slow down due to the existence of maximum limit? In this paper, the world records of 61 sport events in running and swimming through the last hundred years have been analysed to answer the question about the...

Persistent link: https://www.econbiz.de/10009352545

Logistic regression in data analysis: an overview

Maalouf, Maher - In: International Journal of Data Analysis Techniques and … 3 (2011) 3, pp. 281-299

Logistic regression (LR) continues to be one of the most widely used methods in data mining in general and binary data …

Persistent link: https://www.econbiz.de/10009352825