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http://hdl.handle.net/11129/1612
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Title: | Credit Scoring Problem Based on Regression Analysis |
Authors: | Khassawneh, Bashar Suhil Jad Allah |
Keywords: | Mathematics Applied Mathematics and Computer Science Regression analysis Data Mining, Linear Regression, Logistic Regression |
Issue Date: | Jul-2014 |
Publisher: | Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ) |
Citation: | Khassawneh, Bashar Suhil Jad Allah. (2014). Credit Scoring Problem Based on Regression Analysis. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Mathematics, Famagusta: North Cyprus. |
Abstract: | ABSTRACT: This thesis provides an explanatory introduction to the regression models of data mining and contains basic definitions of key terms in the linear, multiple and logistic regression models. Meanwhile, the aim of this study is to illustrate fitting models for the credit scoring problem using simple linear, multiple linear and logistic regression models and also to analyze the found model functions by statistical tools.
Keywords: Data mining, linear regression, logistic regression.
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ÖZ: Bu tez çalışması regresyon modelleri için açıklayıcı bilgiler, ayrica basit ve çoklu doğrusal regresyon modelleri ve linear lojistik regresyon modeller için temel tanımlar içermektedir. Aynı zamanda bu tezin amacı kredi sıralaması için basit, çoklu doğrusal regresyon ve linear lojistik modellemeleri kullanıp, uygun model bulmak ve bulunan model fonksiyonlarını istatistiksel yöntemlerle analiz etmektir.
Anahtar Kelimeler: Veri madenciliği, doğrusal regresyon, lojistik regresyon. |
Description: | Master of Science in Applied Mathematics and Computer Science. Thesis (M.S.)--Eastern Mediterranean University, Faculty of Arts and Sciences, Dept. of Mathematics, 2014. Supervisor: Assist. Prof. Dr. Ersin Kuset Bodur. |
URI: | http://hdl.handle.net/11129/1612 |
Appears in Collections: | Theses (Master's and Ph.D) – Mathematics
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