Search Results - subject:"Logistic regression"

The likelihood of using crowdfunding-Waqf model in Malaysia

Hapsari, Meri Indri; Mohd Thas Thaker, Mohamed Asmy Bin; … - In: International Journal of Ethics and Systems 38 (2022) 4, pp. 682-701

for each variable or item, such as demographic variables. The logistic regression model was used to obtain the probability … assess the probability that people would be willing to use the CWM. This study used descriptive analysis and the logistic … regression model as analytical tools. Descriptive analysis was conducted using frequencies, which means the number of respondents …

Persistent link: https://www.econbiz.de/10014789317

Prevalence and correlates of alcohol and tobacco consumption among research scholars: evidence from a cross-sectional survey of three Indian universities

Usman, Mohd; Anand, Enu; Akhtar, Saddaf Naaz; … - In: Drugs, Habits and Social Policy 23 (2022) 2, pp. 140-155

Purpose Alcohol and tobacco consumption are significant public health concerns and considered some of the riskiest behaviors among students. Despite strong indications of heavy consumption of these substances, certain sections of the student population remain unexplored regarding their...

Persistent link: https://www.econbiz.de/10014707702

Sustainable women empowerment at the bottom of the pyramid through credit access

Pal, Mukesh; Gupta, Hemant - In: Equality, Diversity and Inclusion An International Journal 42 (2022) 1, pp. 157-171

the form of logistic regression (LR) is applied here to analyze the influence of four determinants, namely individual …

Persistent link: https://www.econbiz.de/10014720191

AI-enables product purchase on Amazon: what are the consumers saying?

Gunasekar, Sangeetha; Ray, Sougata; Dixit, Saurabh Kumar; … - In: foresight 25 (2022) 2, pp. 185-193

indicating customer dissatisfaction. Logistic regression was used to identify the attributes that significantly impact customer …

Persistent link: https://www.econbiz.de/10014743762

What (specifically) differentiates the successful and unsuccessful systems delivery projects (SDPs)

Haverila, Matti; Twyford, Jenny Carita - In: Journal of Facilities Management 22 (2022) 4, pp. 588-608

company operating in the facilities management industry. Logistic regression was used to analyze the capability and relative …

Persistent link: https://www.econbiz.de/10015350420

Credit scoring models for a Tunisian microfinance institution : comparison between artificial neural network and logistic regression

Abdelmoula, Aida Kammoun; Triki, Imen - In: Review of economics & finance 6 (2016) 1, pp. 61-78

Persistent link: https://www.econbiz.de/10011448646

Corporate governance effect on financial distress likelihood : evidence from Spain

Manzaneque, Monserrat; Priego, Alba María; Merino, Elena - In: Revista de contabilidad : RC-SAR 19 (2016) 1, pp. 111-121

Persistent link: https://www.econbiz.de/10011686411

A comparison of strategies to develop a customer default scoring model

Pereira, Gustavo Henrique Araujo; Artes, Rinaldo - In: Journal of the Operational Research Society : OR 67 (2016) 11, pp. 1341-1352

Persistent link: https://www.econbiz.de/10011575814

Logistic regression analysis of predictors of loan defaults by customers of non-traditional banks in Ghana

Agbemava, Edinam; Nyarko, Israel Kofi; Adede, Thomas … - In: Inventi impact: supply chain & logistics (2016) 2, pp. 97-111

Persistent link: https://www.econbiz.de/10011592310

Credit scoring and default risk prediction : a comparative study between discriminant analysis & logistic regression

Khemais, Zaghdoudi; Nesrine, Djebali; Mohamed, Mezni - In: International journal of economics and finance 8 (2016) 4, pp. 39-53

Persistent link: https://www.econbiz.de/10011456360