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  2. Details for: Calculating the best cut off point using logistic regression and neural network on credit scoring problems: a case study of a commercial bank
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Calculating the best cut off point using logistic regression and neural network on credit scoring problems: a case study of a commercial bank Soureshjani, Mehrnaz Heidari; Kimiagari, Ali Mohammad

Material type: TextTextPublication details: 2016Description: Book title: Information technology management--Acession number C20746; pages 237-244Subject(s):
  • IT MANAGEMENT
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Calculating the best cut off point using logistic regression and neural network on credit scoring problems: a case study of a commercial bank

APA

(2016). Calculating the best cut off point using logistic regression and neural network on credit scoring problems: a case study of a commercial bank. : .

Chicago

2016. Calculating the best cut off point using logistic regression and neural network on credit scoring problems: a case study of a commercial bank. : .

Harvard

(2016). Calculating the best cut off point using logistic regression and neural network on credit scoring problems: a case study of a commercial bank. : .

MLA

Calculating the best cut off point using logistic regression and neural network on credit scoring problems: a case study of a commercial bank. : . 2016.

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